m sc | m ca

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SCHOOL OF COMPUTER SCIENCE

M Sc | M CAComputer Science

Data Science & Big Data AnalyticsComputer Application

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mitwpu.edu.in3rd Best Universtiy To

Study In India(India Today 2018)

We are set to become an internationally acclaimed centre of higher studies, research and learning in disciplinary and multidisciplinary streams of Science. Imbibing the true spirit of partnership, research, and innovation through our teachings and emphasizing on values of spirituality, humanity,

scientific temperament and global peace among the youth is a part of the regular curriculum. Committed to the sustainable development goals of the United Nations, we develop and prepare our students with professional skills and life skills to achieve larger life goals.

About the School of Computer Science

Master of Computer Application is a two-year full-time programme. MCA program is a blend of Computer Science, Management and Engineering courses. This programme is application-oriented to meet the shortage of skilled human resource. The program focuses on basic computer science, programming languages, databases, management, web techno log ies , da ta sc ience , mob i l e

d eve l o p m e n t a n d a d va n ce d a p p l i c a t i o n development. The objective of this program is to equip students with the knowledge of the latest applications, technologies and tools. After successful completion of this program, students can des ign , develop and implement software applications.

About the Program

In first year, courses like Advanced Operating Systems and Network Security are included to form the basic building blocks to understand the operating system in detail and the security related issues in networking. Introduction to Data Science with R is included to give brief overview of data science concepts and learn R programming. A d v a n c e d J a v a P r o g r a m m i n g , A n d r o i d programming, Angular are included to have a hands on training on the programming concepts. Artificial Intelligence, Machine Learning, Cloud Computing courses are included to cope up with the current IT industry demands. Labs of Artificial Intelligence and Machine Learn ing are carr ied on Python programming to prepare the students industry as well as research. Two practical courses in computer science per trimester are designed to supplement the theoretical training. Along with Computer Science practical courses mini projects are included

to help in building a strong foundation. Students get the opportunity to select courses offered by other schools through Open Elective Basket.In the second year, professional elective, courses on writing research paper and practical courses are offered. Practical includes industry internship which gives students hands on experience in solving a real world problem. Students need to select elective courses offered to them as well as MOOC courses are also offered in the three trimesters.Elective courses include state of the art technologies like Microservices with Java, Next Generation Databases, Deep Learning, Internet of Things, DevOps, and so on, keeping in mind the future requirement of the IT Industry. In trimester five and six students must do internship where they have to work in the software company for 6 months and they need to present the work at the end term exam.

Teaching Methodology

About the Program

The programme encourages the students to sharpen their skills in various thrust areas of computer science field like Artificial Intelligence, Data Science,

web Development etc.by using perfect blend of theory and practical knowledge. It empowers the students to understand and solve real life problems and also develop different real life software applications.On completion of this programme successfully, the students will be able to make a prominent mark in IT industries at higher positions.

Master of Science (M.Sc.Computer Science) is two years Full Time Programme. This programme is designed to develop student’s knowledge of computer science to be industry ready. The program is a blend of analysing the problems, designing systems and developing solutions.

Career Opportunities Ÿ Students have the following employment

opportunities:Ÿ Software Engineer / DeveloperŸ System analystŸ Software ConsultantŸ Software Application ArchitectŸ Hardware Engineer

Ÿ Technical WriterŸ Web designer and developer

Ÿ IT professional in Government officesŸ Bank’s IT officerŸ Higher studies – M.Phil, PhD

Industry Academia Tie-up

Ÿ Barclays Technology Center

Ÿ Xpanxion International

Ÿ Centre of Excellence for LTE | 5G Technologies.

Ÿ Cybage Software Pvt. Ltd

Ÿ Siemens has set up “Unified Communication Lab” for research in Communication Business.

Ÿ Amdocs India has setup “AMDOCS Innovation Lab” on campus exclusively for students to work towards making their innovative ideas a reality.

Ÿ IBM has set up “Centre of Excellence” and Business Transformation Program on Campus.

Ÿ Inteliment Technologies

Ÿ Huda TechnologiesŸ Saama Technologies (India) Pvt LtdŸ SE2Ÿ HexanikaAccolades

NAAC Accredited A Grade 3.15 CGPA

Appreciated by the Ministry of Science & Technology, Govt. of India Smart India Hackathon 2017 Network Engineer Security Analyst

Python Developer

Database Administrator Software Engineer

UI designer Web developer

Students have the following employment opportunities:

Solution Developer Data ScientistBusiness Analyst Mobile App Developer

Career Opportunities

Foundation Program of 2 weeks has been introduced to brush-up the basic numerical computation, programming and other concepts related to Computer Science. The aim and objective of this endeavor is to prepare the students for better performance in learning and placement activities.

In first year, courses like Advanced Operating Systems and Network Security are included to form the basic building blocks to understand the operating system in detail and the security related issues in networking. Introduction to Data Science with R is included to give brief overview of data science concepts and learn R programming. A d v a n c e d J a v a P r o g r a m m i n g , A n d r o i d programming, Angular are included to have a hands on training on the programming concepts. Artificial Intelligence, Machine Learning, Cloud Computing courses are included to cope up with the current IT industry demands. Labs of Artificial Intelligence and Mach ine Learn ing are car r ied on Python programming to prepare the students industry as well as research. Two practical courses in computer science per trimester are designed to supplement the theoretical training. Along with Computer Science practical courses mini projects are included to help in building a strong foundation. Students get the opportunity to select courses offered by other schools through Open Elective Basket.

Elective courses include state of the art technologies like Microservices with Java, Next Generation Databases, Deep Learning, Internet of Things, DevOps, and so on, keeping in mind the future requirement of the IT Industry. In trimester five and six students must do internship where they have to work in the software company for 6 months and they need to present the work at the end term exam.

In the second year, professional elective, courses on writing research paper and practical courses are offered. Practical includes industry internship which gives students hands on experience in solving a real world problem. Students need to select elective courses offered to them as well as MOOC courses are also offered in the three trimesters.

Ÿ Massive Open Online Courses (MOOC) as part of study curriculum

Ÿ Course based certifications from open license websites eg. Coursera

Skill Based Certifications*

Studied Mathematics as one of the subjects at (10+2) level or at Graduate level examination.

Passed Bachelor’s Degree in Science Discipline / BCA from any recognized University approved by UGC / AIU with an aggregate of 50% Marks (45% for Maharashtra Reserved category and PH) AND

Admission is given based on MIT-WPU's Entrance Exam PGPET 2021 (100 Marks) & Personal Interview (PI). (50 Marks)

Eligibility Criteria :

Duration - 2 YearsTrimesters - 6Intake - 60

Programme Fees Rs.1,53,000

Development Fees Rs.17,000

Total Fees – Rs.170,000

Fee Structure: (per year)

Passed Bachelor’s Degree in B.Sc (Comp. Sci), BCS, B.Sc (IT), from any recognized University approved by UGC / AIU with an aggregate of 50% Marks (45% for Maharashtra Reserved category and PH). Admission is given based on MIT-WPU's Entrance Exam PGPET 2021 (100 Marks) AND Personal Interview (PI). (50 Marks)

Programme Fees Rs.1,21,500Development Fees Rs.13,500Total Fees Rs.135,000

MCA Master Of Computer Application MSc (CS) Master of Computer ScienceExcellence & Innovation Built into Learning

We are set to become an internationally acclaimed centre of higher studies, research and learning in disciplinary and multidisciplinary streams of Science. Imbibing the true spirit of partnership, research, and innovation through our teachings and emphasizing on values of spirituality, humanity,

scientific temperament and global peace among the youth is a part of the regular curriculum. Committed to the sustainable development goals of the United Nations, we develop and prepare our students with professional skills and life skills to achieve larger life goals.

About the School of Computer Science

Master of Computer Application is a two-year full-time programme. MCA program is a blend of Computer Science, Management and Engineering courses. This programme is application-oriented to meet the shortage of skilled human resource. The program focuses on basic computer science, programming languages, databases, management, web techno log ies , da ta sc ience , mob i l e

d eve l o p m e n t a n d a d va n ce d a p p l i c a t i o n development. The objective of this program is to equip students with the knowledge of the latest applications, technologies and tools. After successful completion of this program, students can des ign , develop and implement software applications.

About the Program

In first year, courses like Advanced Operating Systems and Network Security are included to form the basic building blocks to understand the operating system in detail and the security related issues in networking. Introduction to Data Science with R is included to give brief overview of data science concepts and learn R programming. A d v a n c e d J a v a P r o g r a m m i n g , A n d r o i d programming, Angular are included to have a hands on training on the programming concepts. Artificial Intelligence, Machine Learning, Cloud Computing courses are included to cope up with the current IT industry demands. Labs of Artificial Intelligence and Machine Learn ing are carr ied on Python programming to prepare the students industry as well as research. Two practical courses in computer science per trimester are designed to supplement the theoretical training. Along with Computer Science practical courses mini projects are included

to help in building a strong foundation. Students get the opportunity to select courses offered by other schools through Open Elective Basket.In the second year, professional elective, courses on writing research paper and practical courses are offered. Practical includes industry internship which gives students hands on experience in solving a real world problem. Students need to select elective courses offered to them as well as MOOC courses are also offered in the three trimesters.Elective courses include state of the art technologies like Microservices with Java, Next Generation Databases, Deep Learning, Internet of Things, DevOps, and so on, keeping in mind the future requirement of the IT Industry. In trimester five and six students must do internship where they have to work in the software company for 6 months and they need to present the work at the end term exam.

About the Program

The programme encourages the students to sharpen their skills in various thrust areas of computer science field like Artificial Intelligence, Data Science,

web Development etc.by using perfect blend of theory and practical knowledge. It empowers the students to understand and solve real life problems and also develop different real life software applications.On completion of this programme successfully, the students will be able to make a prominent mark in IT industries at higher positions.

Master of Science (M.Sc.Computer Science) is two years Full Time Programme. This programme is designed to develop student’s knowledge of computer science to be industry ready. The program is a blend of analysing the problems, designing systems and developing solutions.

Career Opportunities Ÿ Students have the following employment

opportunities:Ÿ Software Engineer / DeveloperŸ System analystŸ Software ConsultantŸ Software Application ArchitectŸ Hardware Engineer

Ÿ Technical WriterŸ Web designer and developer

Ÿ IT professional in Government officesŸ Bank’s IT officerŸ Higher studies – M.Phil, PhD

Ÿ Barclays Technology Center

Ÿ Xpanxion International

Ÿ Centre of Excellence for LTE | 5G Technologies.

Ÿ Cybage Software Pvt. Ltd

Ÿ Siemens has set up “Unified Communication Lab” for research in Communication Business.

Ÿ Amdocs India has setup “AMDOCS Innovation Lab” on campus exclusively for students to work towards making their innovative ideas a reality.

Ÿ IBM has set up “Centre of Excellence” and Business Transformation Program on Campus.

Ÿ Inteliment Technologies

Ÿ Huda TechnologiesŸ Saama Technologies (India) Pvt LtdŸ SE2Ÿ HexanikaAccolades

NAAC Accredited A Grade 3.15 CGPA

Appreciated by the Ministry of Science & Technology, Govt. of India Smart India Hackathon 2017 Network Engineer Security Analyst

Python Developer

Database Administrator Software Engineer

UI designer Web developer

Students have the following employment opportunities:

Solution Developer Data ScientistBusiness Analyst Mobile App Developer

Foundation Program of 2 weeks has been introduced to brush-up the basic numerical computation, programming and other concepts related to Computer Science. The aim and objective of this endeavor is to prepare the students for better performance in learning and placement activities.

In first year, courses like Advanced Operating Systems and Network Security are included to form the basic building blocks to understand the operating system in detail and the security related issues in networking. Introduction to Data Science with R is included to give brief overview of data science concepts and learn R programming. A d v a n c e d J a v a P r o g r a m m i n g , A n d r o i d programming, Angular are included to have a hands on training on the programming concepts. Artificial Intelligence, Machine Learning, Cloud Computing courses are included to cope up with the current IT industry demands. Labs of Artificial Intelligence and Mach ine Learn ing are car r ied on Python programming to prepare the students industry as well as research. Two practical courses in computer science per trimester are designed to supplement the theoretical training. Along with Computer Science practical courses mini projects are included to help in building a strong foundation. Students get the opportunity to select courses offered by other schools through Open Elective Basket.

Elective courses include state of the art technologies like Microservices with Java, Next Generation Databases, Deep Learning, Internet of Things, DevOps, and so on, keeping in mind the future requirement of the IT Industry. In trimester five and six students must do internship where they have to work in the software company for 6 months and they need to present the work at the end term exam.

In the second year, professional elective, courses on writing research paper and practical courses are offered. Practical includes industry internship which gives students hands on experience in solving a real world problem. Students need to select elective courses offered to them as well as MOOC courses are also offered in the three trimesters.

Ÿ Massive Open Online Courses (MOOC) as part of study curriculum

Ÿ Course based certifications from open license websites eg. Coursera

Skill Based Certifications*

Studied Mathematics as one of the subjects at (10+2) level or at Graduate level examination.

Passed Bachelor’s Degree in Science Discipline / BCA from any recognized University approved by UGC / AIU with an aggregate of 50% Marks (45% for Maharashtra Reserved category and PH) AND

Admission is given based on MIT-WPU's Entrance Exam PGPET 2021 (100 Marks) & Personal Interview (PI). (50 Marks)

Duration - 2 YearsTrimesters - 6Intake - 60

Total Fees – Rs.170,000

Passed Bachelor’s Degree in B.Sc (Comp. Sci), BCS, B.Sc (IT), from any recognized University approved by UGC / AIU with an aggregate of 50% Marks (45% for Maharashtra Reserved category and PH). Admission is given based on MIT-WPU's Entrance Exam PGPET 2021 (100 Marks) AND Personal Interview (PI). (50 Marks)

Programme Fees Rs.1,21,500Development Fees Rs.13,500Total Fees Rs.135,000

MCA Master Of Computer Application MSc (CS) Master of Computer ScienceExcellence & Innovation Built into Learning

Last 6 months are devoted for internship experience, wherein students get an opportunity to work in industry and apply their Data Science and Project based knowledge to real world requirements.

M.Sc. (Data Science & Big Data Analytics) is a 2-year program focusing on Data Science tools and technology. The curriculum includes subjects related to Big Data Management, like Hadoop framework and ecosystem tools like Apache Spark. The course also includes fundamental subjects like Mathematics and Statistics which are pillars of Data Science. Core subjects like Artificial Intelligence, Machine Learning and Deep Learning are covered in depth with ample hands-on laboratory assignments developed in Python. Curriculum also includes hands-on experience on Data Visualization tools like Microsoft PowerBI and

Tableau, introduction to No-SQL databases like MongoDB as well as Cloud Computing concepts. Two mini-projects implemented by students in this 2-year curriculum give them opportunity to utilize the knowledge of all the above subjects on industry and society relevant problem statements, as well as demonstrate their skills confidently during internship and placement interviews.

About the Program

Ÿ Throughout the course, students are encouraged to participate in Hackathons and competitive events, as well as develop a researcher’s mind

Ÿ In the fourth trimester students learn Artificial Intelligence with NLP as well as Principles of Deep Learning with hands-on lab assignments. Students are introduced to cloud computing concepts and platforms. Second mini-project is

taken up here, where students can solve a challenging problem statement using ML and Deep learning algorithms. The internship and recruitment activities start in this trimester itself

Ÿ Fifth and Sixth trimesters are devoted for full time internship.

Ÿ Machine learning is continued in the third trimester as well, and Apache Spark with Scala programming language is introduced. Students are required to do a mini-project in this trimester using any of the concepts learnt so far

Ÿ The first trimester will lay the foundations of Data Science by teaching students fundamental subjects like Mathematics and Statistics. Big data and Hadoop framework is introduced here. Students learn Python as a programming language

Ÿ The next trimester takes students on two tracks Machine Learning and Hadoop ecosystem. Python is used for ML assignments. Students are also introduced to Data Visualization tools

Ÿ Big Data Solution Architect

Ÿ Python Developer

Ÿ Data Scientist

Students have the fol lowing employment opportunities:

Ÿ Big Data Analytics Business Consultant

Ÿ Metric and analytics specialist

Ÿ Big Data Engineer

Ÿ Big Data Analyst

Ÿ Power BI / Tableau developer

TRIMESTERS88 credits

Note – All rights are reserved to MITWPU to change program structure.

B.Sc. (CS), B.Sc. (IT), BCA, BCS, BE, B.Tech( any stream), BBA (CA) With Mathematics in 12th STD from any recognized University approved by UGC / AIU with 50% of marks (45% marks aggregate in case of candidate backward class categories & disability belong to Maharashtra State Only)

Trimesters - 6Intake - 60

Duration - 2 Years

Total Fees Rs.2,25,000

MCA Program StructureMSc Data Science & Big Data Analytics Excellence & Innovation Built into Learning mitwpu.edu.in

Ÿ Object Oriented Programming using

Ÿ Mini Project and Lab on RDBMS & Lab on Object Oriented Programming using Java

Name of Course

Ÿ Java

Ÿ RDBMS Concepts

Ÿ Operating Systems

Ÿ Data Communications and Networking

Ÿ World Famous Philosophers, Sages/Saints and Great Kings

st1 TRIMESTER nd2 TRIMESTER

Ÿ Data Structures

Ÿ Advanced Java

Ÿ Web Technologies

Name of Course

Ÿ Technologies, NOSQL & Lab on Adv. Java

Ÿ Philosophy of Science and Religion/Spirituality

Ÿ Mini Project and Lab on Web

Ÿ Software Engineering Concepts

rd3 TRIMESTER

Ÿ Advanced Web Technologies

Name of Course

Ÿ Software Project Management

Ÿ Design and Analysis of Algorithms

Ÿ Python

Ÿ Study of Languages ,Peace in Communications and Human Dynamics

Ÿ Mini Project and Lab on ASP.Net & Lab on Advanced Web Technologies

Ÿ .NET Framework (ASP.NET)

th4 TRIMESTER

Development & Lab on AI and ML

Mini Project and Lab on Mobile Application

Cloud Computing

DevOps

Data Science using R

Software Testing and Quality Assurance

Elective I Web Development using

Elective II Internet of Things

Information Security

Ÿ Mobile Application Development

Database Administration

Name of Course

Ÿ Artificial Intelligence and Machine Learning

Angular

Ÿ Writing Research Paper

Name of Course

Ÿ Full Time Industrial Internship I

th5 TRIMESTER

Name of Course

Ÿ Full Time Industrial Internship IIŸ Writing Research Project Proposal

th6 TRIMESTER

Last 6 months are devoted for internship experience, wherein students get an opportunity to work in industry and apply their Data Science and Project based knowledge to real world requirements.

M.Sc. (Data Science & Big Data Analytics) is a 2-year program focusing on Data Science tools and technology. The curriculum includes subjects related to Big Data Management, like Hadoop framework and ecosystem tools like Apache Spark. The course also includes fundamental subjects like Mathematics and Statistics which are pillars of Data Science. Core subjects like Artificial Intelligence, Machine Learning and Deep Learning are covered in depth with ample hands-on laboratory assignments developed in Python. Curriculum also includes hands-on experience on Data Visualization tools like Microsoft PowerBI and

Tableau, introduction to No-SQL databases like MongoDB as well as Cloud Computing concepts. Two mini-projects implemented by students in this 2-year curriculum give them opportunity to utilize the knowledge of all the above subjects on industry and society relevant problem statements, as well as demonstrate their skills confidently during internship and placement interviews.

About the Program

Ÿ Throughout the course, students are encouraged to participate in Hackathons and competitive events, as well as develop a researcher’s mind

Ÿ In the fourth trimester students learn Artificial Intelligence with NLP as well as Principles of Deep Learning with hands-on lab assignments. Students are introduced to cloud computing concepts and platforms. Second mini-project is

taken up here, where students can solve a challenging problem statement using ML and Deep learning algorithms. The internship and recruitment activities start in this trimester itself

Ÿ Fifth and Sixth trimesters are devoted for full time internship.

Ÿ Machine learning is continued in the third trimester as well, and Apache Spark with Scala programming language is introduced. Students are required to do a mini-project in this trimester using any of the concepts learnt so far

Ÿ The first trimester will lay the foundations of Data Science by teaching students fundamental subjects like Mathematics and Statistics. Big data and Hadoop framework is introduced here. Students learn Python as a programming language

Ÿ The next trimester takes students on two tracks Machine Learning and Hadoop ecosystem. Python is used for ML assignments. Students are also introduced to Data Visualization tools

Ÿ Big Data Solution Architect

Ÿ Python Developer

Ÿ Data Scientist

Students have the fol lowing employment opportunities:

Ÿ Big Data Analytics Business Consultant

Ÿ Metric and analytics specialist

Ÿ Big Data Engineer

Ÿ Big Data Analyst

Ÿ Power BI / Tableau developer

Note – All rights are reserved to MITWPU to change program structure.

B.Sc. (CS), B.Sc. (IT), BCA, BCS, BE, B.Tech( any stream), BBA (CA) With Mathematics in 12th STD from any recognized University approved by UGC / AIU with 50% of marks (45% marks aggregate in case of candidate backward class categories & disability belong to Maharashtra State Only)

Trimesters - 6Intake - 60

Duration - 2 Years

Total Fees Rs.2,25,000

MCA Program StructureMSc Data Science & Big Data Analytics Excellence & Innovation Built into Learning mitwpu.edu.in

Ÿ Object Oriented Programming using

Ÿ Mini Project and Lab on RDBMS & Lab on Object Oriented Programming using Java

Name of Course

Ÿ Java

Ÿ RDBMS Concepts

Ÿ Operating Systems

Ÿ Data Communications and Networking

Ÿ Data Structures

Ÿ Advanced Java

Ÿ Web Technologies

Name of Course

Ÿ Technologies, NOSQL & Lab on Adv. Java

Ÿ Mini Project and Lab on Web

Ÿ Software Engineering Concepts

rd3 TRIMESTER

Ÿ Advanced Web Technologies

Name of Course

Ÿ Software Project Management

Ÿ Design and Analysis of Algorithms

Ÿ Python

Ÿ Study of Languages ,Peace in Communications and Human Dynamics

Ÿ Mini Project and Lab on ASP.Net & Lab on Advanced Web Technologies

Ÿ .NET Framework (ASP.NET)

th4 TRIMESTER

Development & Lab on AI and ML

Mini Project and Lab on Mobile Application

Cloud Computing

DevOps

Data Science using R

Software Testing and Quality Assurance

Elective I Web Development using

Elective II Internet of Things

Information Security

Ÿ Mobile Application Development

Database Administration

Name of Course

Ÿ Artificial Intelligence and Machine Learning

Angular

Ÿ Writing Research Paper

Name of Course

Ÿ Full Time Industrial Internship I

th5 TRIMESTER

Name of Course

Ÿ Full Time Industrial Internship IIŸ Writing Research Project Proposal

th6 TRIMESTER

Note – All rights are reserved to MITWPU to change program structure.Note – All rights are reserved to MITWPU to change program structure.

MSc (CS) Program Structure M Sc (DS & BDA) Program Structure

Ÿ Advanced Java

Ÿ Lab on Advanced Java& Mini Project

Name of Course

Ÿ Advanced Operating System

Ÿ Introduction to Data Science and R programming

Ÿ Network Security

Ÿ Lab on Data Science &R and Mini Project

Name of Course

Ÿ Open Elective

Ÿ Android Programming

Ÿ Lab on Android & Mini Project

Ÿ Lab on Python and AI & Mini Project

Ÿ Algorithm Design Strategies

Ÿ Artificial Intelligence

rd3 TRIMESTER

Ÿ Lab on Angular & Mini Project

Ÿ Professional Elective I

Ÿ Machine Learning

Name of Course

Ÿ Lab on Python and ML & Mini Project

Ÿ Angular

Ÿ Study of Languages, Peace in Communications and Human Dynamics

th4 TRIMESTER

Name of Course

Ÿ Cloud Computing

Ÿ Professional Elective II

Ÿ MOOC I

Ÿ Full Time Industrial Training I

Name of Course

Ÿ Writing Research Paper –I

Ÿ MOOC-II

th5 TRIMESTER

Name of Course

Ÿ Full Time Industrial Training II

Ÿ MOOC-III

Ÿ Writing Research Paper -II

th6 TRIMESTER

Name of Course

Ÿ Mathematics for Machine Learning

Ÿ Statistics & Optimization for Machine Learning

Ÿ Data Warehousing & Data Mining

Ÿ Big Data Architecture & Ecosystem - Hadoop

Ÿ Lab on Python & R programming

Ÿ Lab on Hadoop (HDFS, MR)

Ÿ World famous philosophers, Sages/Saints and Great Kings

Ÿ Lab on Data Visualization

Ÿ Machine Learning Algorithm- I

Ÿ MOOC-I

Name of Course

Ÿ Lab on Big Data Ecosystem Tools

Ÿ Philosophy of Science & Religion/Spirituality

Ÿ Lab on Machine Learning Algorithms- I

Ÿ Professional Elective- I (NoSQL Databases OR Java)

rd3 TRIMESTER

Ÿ MOOC-II

Ÿ Open Elective (Cross-disciplinary)

Ÿ Study of Languages Peace in Communication & Human Dynamics

Name of Course

Ÿ Lab on Apache Spark and Scala

Ÿ Machine Learning Algorithm- II

Ÿ Lab on Machine Learning Algorithm- II

Ÿ Professional Elective- II (Data Analytics Pipeline OR Big Data Security)

Ÿ Mini Project I

th4 TRIMESTER

Ÿ Mini Project – II

Name of Course

Ÿ Lab on Cloud Computing

Ÿ Principles of Deep Learning

Ÿ Lab on Deep Learning

Name of Course

Ÿ Full Time Industrial Internship / Project

th5 TRIMESTER

Name of Course

th6 TRIMESTER

mitwpu.edu.in

Note – All rights are reserved to MITWPU to change program structure.Note – All rights are reserved to MITWPU to change program structure.

MSc (CS) Program Structure M Sc (DS & BDA) Program Structure

Ÿ Advanced Java

Ÿ Lab on Advanced Java& Mini Project

Name of Course

Ÿ Advanced Operating System

Ÿ Introduction to Data Science and R programming

Ÿ Network Security

Ÿ Lab on Data Science &R and Mini Project

Name of Course

Ÿ Open Elective

Ÿ Android Programming

Ÿ Lab on Android & Mini Project

Ÿ Lab on Python and AI & Mini Project

Ÿ Algorithm Design Strategies

rd3 TRIMESTER

Ÿ Lab on Angular & Mini Project

Ÿ Professional Elective I

Ÿ Machine Learning

Name of Course

Ÿ Lab on Python and ML & Mini Project

Ÿ Angular

Ÿ Study of Languages, Peace in Communications and Human Dynamics

th4 TRIMESTER

Name of Course

Ÿ Cloud Computing

Ÿ Professional Elective II

Ÿ MOOC I

Ÿ Full Time Industrial Training I

Name of Course

Ÿ Writing Research Paper –I

Ÿ MOOC-II

th5 TRIMESTER

Name of Course

Ÿ Full Time Industrial Training II

Ÿ MOOC-III

Ÿ Writing Research Paper -II

th6 TRIMESTER

Name of Course

Ÿ Mathematics for Machine Learning

Ÿ Statistics & Optimization for Machine Learning

Ÿ Data Warehousing & Data Mining

Ÿ Big Data Architecture & Ecosystem - Hadoop

Ÿ Lab on Python & R programming

Ÿ Lab on Hadoop (HDFS, MR)

Ÿ World famous philosophers, Sages/Saints and Great Kings

Ÿ Lab on Data Visualization

Ÿ Machine Learning Algorithm- I

Ÿ MOOC-I

Name of Course

Ÿ Lab on Big Data Ecosystem Tools

Ÿ Philosophy of Science & Religion/Spirituality

Ÿ Lab on Machine Learning Algorithms- I

Ÿ Professional Elective- I (NoSQL Databases OR Java)

rd3 TRIMESTER

Ÿ MOOC-II

Ÿ Study of Languages Peace in Communication & Human Dynamics

Name of Course

Ÿ Lab on Apache Spark and Scala

Ÿ Machine Learning Algorithm- II

Ÿ Lab on Machine Learning Algorithm- II

Ÿ Professional Elective- II (Data Analytics Pipeline OR Big Data Security)

Ÿ Mini Project I

th4 TRIMESTER

Ÿ Mini Project – II

Name of Course

Ÿ Lab on Cloud Computing

Ÿ Principles of Deep Learning

Ÿ Lab on Deep Learning

Name of Course

th5 TRIMESTER

Name of Course

th6 TRIMESTER

mitwpu.edu.in

Focus Areas

The focus area for the School of Computer Science is from Basic Technology to Advanced Technology. The school offers courses on emerging Technologies like Data Mining, Artificial Intelligence, Machine Learning, Deep Learning and Big Data Tools along with popular programming languages like Python, R and Scala. We have competent faculty members to teach these courses. We also invite industry experts for guest lectures, seminars and workshops to give insights into these emerging areas and discuss solutions on real-world problems with the students. Students are encouraged to participate in Hackathons and Research Paper Conferences and Symposiums to apply this knowledge effectively. Students can also gain additional credits and skills in terms of MOOC (Massive Open Online Courses). All the labs in the school are well equipped and upgraded in this respect.

Rural Immersion

Rural immersion programs are a part of MIT-WPU curriculum to sensitize the urban university students towards the rural community. The school of computer science students visit a village in their first year of course. Along with helping the villagers on the farm, the students spend some time in the rural schools teaching children about values and use of

technology. The interactions with the villagers help the students to understand their problems and provide technology solutions to help them increase their yield and be in a position to predict the future quality of the crop. In other words, the students can apply classroom learning directly to the real-time environment.

Eminent Guest Faculty

Sr. Director, CognizantKaustubh Laturkar is a well-rounded leader in Data, AI & Analytics, Data Science with the ability to build Digital Business for clients globally. He has 20+ years of industry experience in areas like P&L, AI and Analytics and People and Stakeholder Management . He i s associated with MIT World Peace University as a member of the Academic Council and Mentor for Hackathons. He has also delivered lectures on topics related to Artificial Intelligence.

Kaustubh Laturkar

Ram PrasadPresident, Xpanxion InternationalMr. Ram Prasad is the President of Xpanxion, a UST global group. Xpanxion is an Industry Partner of MIT WPU. Mr. Ram Prasad is a regular advisor at Hackathons and other events at MIT. MIT interns working at Xpanxion find Ram Prasad Sir to be very supportive and encouraging in all the activities.

Dr. Markand OzaScientist, ISRODr. Markand Oza is a Scientist at the Department of Space and ISRO Headquarters. He is also the principal investigator at Vedas Lab at ISRO. He has authored more than 45 research papers and has over 234 citations to his credit. He has done considerable research on predicting agricultural produce using satellite data and Resource Sat 1 data. Dr. Oza has visited MIT-WPU campus for giving a guest lecture on Using Data Analytics with ISRO data in the field of agriculture and social good. He also mentors PhD students at MIT-WPU.

MD & CEO, Inteliment Prashant Pansare

Prashant Pansare is the Founder and a Global CEO of Inteliment Group, a niche and well-respected global Business Analytics company. He is one of the most inspiring data analytics innovators. He is regularly invited for Conferences and Seminars at MIT-WPU as a guest or keynote speaker. Many students who work at Inteliment as interns find his guidance very valuable.

The Advisory Board

Ram Prasad Executive President

Xpanxion International

Sanjay Patwardhan Head

BI & Data Analytics COE, Cybage

Nitin Mulay Sr. Vice President

Barclays

Prashant Pansare MD & CEO Inteliment

Prof. (Dr.) P. Nagabhushan Director Indian Institute ofInformation Technology,

Allahabad, (U.P.) INDIA

Dr. Umapada Pal Professor and Head,Computer Vision and

Pattern Recognition Unit Indian Statistical Institute

(ISI), Kolkata

Dr. Alex Hankey Professor, Ph.D. from

Massachusetts Inst. of Technology, US, BA, MA Cambridge University

Dr. John Bryden Research Professor at

Norwegian Ag Economics Research Institute and

Emeritus Professor, University of Aberdeen

Ashish Hastak MD,

Amazon Web Services

Faculty Profile

Dr. C. H. PatilHoS & Asst. Professor,

Computer Science

Dr. Shubhalaxmi JoshiAssociate Dean,

Faculty of Science

Dr. Rajeshree KhandeAssociate HoS,

Computer Science

Dr. Anuradha KanadeAssistant Professor

Dr. Barnali GoswamiProgram Head,

M.Sc. Computer Science

Prof. Sachin BhoiteProgram Head &

Assistant Professor

Prof. Surabhi ThatteAssistant Professor

Prof. Swapnil GojeAssistant Professor

Prof. Prajakta SomanProgram Head & Industry Expert

Prof. Supriya ArasAssistant Professor and Industry Expert

Prof. Devyani KambleAssistant Professor

Prof. Jayant PatilAssistant ProfessorComputer Science

Prof. Sheetal RajapurkarAssistant Professor

Electronics

Dr. S. M. Mali Associate Professor

School of Computer Science

Dr. Amol VibhuteAssistant Professor

1st University from India to qualify at largest international design... mitwpu.edu.in

Focus Areas

The focus area for the School of Computer Science is from Basic Technology to Advanced Technology. The school offers courses on emerging Technologies like Data Mining, Artificial Intelligence, Machine Learning, Deep Learning and Big Data Tools along with popular programming languages like Python, R and Scala. We have competent faculty members to teach these courses. We also invite industry experts for guest lectures, seminars and workshops to give insights into these emerging areas and discuss solutions on real-world problems with the students. Students are encouraged to participate in Hackathons and Research Paper Conferences and Symposiums to apply this knowledge effectively. Students can also gain additional credits and skills in terms of MOOC (Massive Open Online Courses). All the labs in the school are well equipped and upgraded in this respect.

Rural Immersion

Rural immersion programs are a part of MIT-WPU curriculum to sensitize the urban university students towards the rural community. The school of computer science students visit a village in their first year of course. Along with helping the villagers on the farm, the students spend some time in the rural schools teaching children about values and use of

technology. The interactions with the villagers help the students to understand their problems and provide technology solutions to help them increase their yield and be in a position to predict the future quality of the crop. In other words, the students can apply classroom learning directly to the real-time environment.

Eminent Guest Faculty

Sr. Director, CognizantKaustubh Laturkar is a well-rounded leader in Data, AI & Analytics, Data Science with the ability to build Digital Business for clients globally. He has 20+ years of industry experience in areas like P&L, AI and Analytics and People and Stakeholder Management . He i s associated with MIT World Peace University as a member of the Academic Council and Mentor for Hackathons. He has also delivered lectures on topics related to Artificial Intelligence.

Kaustubh Laturkar

Ram PrasadPresident, Xpanxion InternationalMr. Ram Prasad is the President of Xpanxion, a UST global group. Xpanxion is an Industry Partner of MIT WPU. Mr. Ram Prasad is a regular advisor at Hackathons and other events at MIT. MIT interns working at Xpanxion find Ram Prasad Sir to be very supportive and encouraging in all the activities.

Dr. Markand OzaScientist, ISRODr. Markand Oza is a Scientist at the Department of Space and ISRO Headquarters. He is also the principal investigator at Vedas Lab at ISRO. He has authored more than 45 research papers and has over 234 citations to his credit. He has done considerable research on predicting agricultural produce using satellite data and Resource Sat 1 data. Dr. Oza has visited MIT-WPU campus for giving a guest lecture on Using Data Analytics with ISRO data in the field of agriculture and social good. He also mentors PhD students at MIT-WPU.

MD & CEO, Inteliment Prashant Pansare

Prashant Pansare is the Founder and a Global CEO of Inteliment Group, a niche and well-respected global Business Analytics company. He is one of the most inspiring data analytics innovators. He is regularly invited for Conferences and Seminars at MIT-WPU as a guest or keynote speaker. Many students who work at Inteliment as interns find his guidance very valuable.

The Advisory Board

Ram Prasad Executive President

Xpanxion International

Sanjay Patwardhan Head

BI & Data Analytics COE, Cybage

Nitin Mulay Sr. Vice President

Barclays

Prashant Pansare MD & CEO Inteliment

Prof. (Dr.) P. Nagabhushan Director Indian Institute ofInformation Technology,

Allahabad, (U.P.) INDIA

Dr. Umapada Pal Professor and Head,Computer Vision and

Pattern Recognition Unit Indian Statistical Institute

(ISI), Kolkata

Dr. Alex Hankey Professor, Ph.D. from

Massachusetts Inst. of Technology, US, BA, MA Cambridge University

Dr. John Bryden Research Professor at

Norwegian Ag Economics Research Institute and

Emeritus Professor, University of Aberdeen

Ashish Hastak MD,

Amazon Web Services

Faculty Profile

Dr. C. H. PatilHoS & Asst. Professor,

Computer Science

Dr. Shubhalaxmi JoshiAssociate Dean,

Faculty of Science

Dr. Rajeshree KhandeAssociate HoS,

Computer Science

Dr. Anuradha KanadeAssistant Professor

Dr. Barnali GoswamiProgram Head,

M.Sc. Computer Science

Prof. Sachin BhoiteProgram Head &

Assistant Professor

Prof. Surabhi ThatteAssistant Professor

Prof. Swapnil GojeAssistant Professor

Prof. Prajakta SomanProgram Head & Industry Expert

Prof. Supriya ArasAssistant Professor and Industry Expert

Prof. Devyani KambleAssistant Professor

Prof. Jayant PatilAssistant ProfessorComputer Science

Prof. Sheetal RajapurkarAssistant Professor

Electronics

Dr. S. M. Mali Associate Professor

Dr. Amol VibhuteAssistant Professor

1st University from India to qualify at largest international design... mitwpu.edu.in

Student Achievements

Chhatra Vishwakarma Awards 2020Participation in Few students also presented paper at

Internat iona l Conferences , to be published in Scopus indexed journals

Participation till final rounds in IEEE Govtechthon, IIT TechFest Bombay, Internal Smart India Hackathon and IBM Hack Challenges

More than 50 students from the School of Computer Science presented and published research paper at the Second National Research Conference, held at MIT-WPU in March 2021Participation and Awards in in-house

Technical Competitions like Technocrat.

TestimonialShivam Chauhan from Dehradun, Uttarakhand. I am a second year student of M.Sc. (Data Science & Big Data Analytics) . I am currently working as Data Engineer Intern in Bizmetric and will join there as Full Time Employee soon.

My achievements would not have been possible had it not been the constant effort put by the placement cell and motivation from my teachers and mentors.

The student friendly environment and world class facilities here have made this place more premier. Throughout the two years, I had numerous opportunities to expand my perspective on Data Science and Big Data, both professionally and intellectually. MIT-WPU has not only shaped me as professional but has also taught me to strive higher.

Internships and Placements

Albino BraganzaAmdocs

Bhaskar MondalHexanika

Riya JainCognizant

Deeksha PhatteSnowflake(intern)

Sarvesha ChodankarVeritas

MSc(CS)

Akshata PadwalCyber Securist

Swanand SambhusOivi

Rohan BariHexanika

Omkar IngulkarPago Analytics

Yash RankaWisdmlabs

“many more….”

M Sc (DS & BDA)

Aditya PadeBirlasoft

Bhargavi JoshiKlaxontech

Gaurav JoshiSnowflake

Gayatri AmbulkarHalliburton

Yash GhaisasBizmetric

1st University from India to qualify at largest international design...

The objective of this initiative is to build a strong collaboration between university and industry partners. CIAP believes that the collaboration between industry and academia is fundamental in catalysing the innovation and growth in technology. While industry partners quite often focus on providing solutions that have greater impact on businesses, educational institutions focus on building new knowledge through research and imparting education to students which make them ready to serve those industry needs. CIAP as a

A unique initiative by MIT World Peace University

The key functions like Industry Partnerships, Career Services, Internships and Alumni Engagement are forefront in serving the ongoing needs of our students and alumni. These functions not only engage the students in improving their skills through the structured assessments, training and grooming activities, they also help students gain the strength to get best of the job opportunities by collaborating world class employers.

catalyst plays an important role in creating more and more opportunities and make student equip with the skills that are needed to be served.

Centre for Industry-Academia Partnerships

Life @ Campus

Tell me and I forget

Teach me and I remember

Involve me and I learn

mitwpu.edu.in

Student Achievements

Chhatra Vishwakarma Awards 2020Participation in Few students also presented paper at

Internat iona l Conferences , to be published in Scopus indexed journals

Participation till final rounds in IEEE Govtechthon, IIT TechFest Bombay, Internal Smart India Hackathon and IBM Hack Challenges

More than 50 students from the School of Computer Science presented and published research paper at the Second National Research Conference, held at MIT-WPU in March 2021Participation and Awards in in-house

Technical Competitions like Technocrat.

TestimonialShivam Chauhan from Dehradun, Uttarakhand. I am a second year student of M.Sc. (Data Science & Big Data Analytics) . I am currently working as Data Engineer Intern in Bizmetric and will join there as Full Time Employee soon.

My achievements would not have been possible had it not been the constant effort put by the placement cell and motivation from my teachers and mentors.

The student friendly environment and world class facilities here have made this place more premier. Throughout the two years, I had numerous opportunities to expand my perspective on Data Science and Big Data, both professionally and intellectually. MIT-WPU has not only shaped me as professional but has also taught me to strive higher.

Internships and Placements

Albino BraganzaAmdocs

Bhaskar MondalHexanika

Riya JainCognizant

Deeksha PhatteSnowflake(intern)

Sarvesha ChodankarVeritas

MSc(CS)

Akshata PadwalCyber Securist

Swanand SambhusOivi

Rohan BariHexanika

Omkar IngulkarPago Analytics

Yash RankaWisdmlabs

“many more….”

M Sc (DS & BDA)

Aditya PadeBirlasoft

Bhargavi JoshiKlaxontech

Gaurav JoshiSnowflake

Gayatri AmbulkarHalliburton

Yash GhaisasBizmetric

1st University from India to qualify at largest international design...

The objective of this initiative is to build a strong collaboration between university and industry partners. CIAP believes that the collaboration between industry and academia is fundamental in catalysing the innovation and growth in technology. While industry partners quite often focus on providing solutions that have greater impact on businesses, educational institutions focus on building new knowledge through research and imparting education to students which make them ready to serve those industry needs. CIAP as a

A unique initiative by MIT World Peace University

The key functions like Industry Partnerships, Career Services, Internships and Alumni Engagement are forefront in serving the ongoing needs of our students and alumni. These functions not only engage the students in improving their skills through the structured assessments, training and grooming activities, they also help students gain the strength to get best of the job opportunities by collaborating world class employers.

catalyst plays an important role in creating more and more opportunities and make student equip with the skills that are needed to be served.

Centre for Industry-Academia Partnerships

Life @ Campus

Tell me and I forget

Teach me and I remember

Involve me and I learn

mitwpu.edu.in

Corporate Relations & Placements

The MIT-WPU Academic framework focusses on delivering Academic and Practical Knowledge to match Global Industry Requirements through highly engaged International Study Credits. This involves 2-4 weeks of planned International tour*, whereby Students study and experience actual

working of noted Industry, Organisations, Government bodies and Universities relevant to their field of specialisation. The students attain specified course and receive Joint certificates from affiliate Institutions of repute at the end of this program.

*Condition applied.

Approaching College

WPU Registration Form Filling

Admission Counselling

Join WhatsApp Group

Interview Entrance Examination Entrance Form Filling Entrance Guidance

Entrance Result Merit List Declaration

Offer letter to Take Admission

Admission process

Ÿ Wards of Personnel working in / retired from Defence/ Paramilitary Services

Ÿ Students taken Admission under Jammu & Kashmir Quota

Ÿ Candidates with a disability of 40% and more.

Ÿ Other Scholarships

Ÿ Any student who completes graduation from any institute/college/university under MAEER and takes admission in MIT-WPU for PG.

Ÿ Scholarships to Elite Sportsperson AY 2021-22Ÿ Scholarship Awarded to Wards of MIT-WPU/

MAEER’s Staff Members

The categories of Merit Scholarships are detailed below.Ÿ Dr. Vishwanath Karad Merit Scholarship AY

2021-22

Merit scholarships are proposed to reward and motivate the meritorious students with financial assistance based on their academic performance.

ScholarshipScholarship

• MIT-WPU reserves the right to modify scholarship policy without any notice. • MIT-WPU reserves the right to modify the fee structure.

Note:• Student should meet any one of the entrance exam score criteria to be eligible for scholarship.

`11.0lakhs p.a Highest Salary

`4.8lakhs p.a Average Salary

100+Average number of companies visited

Disclaimer : The information published in this booklet is true to our knowledge and is correct at the time of publishing. Also the pictures, photographs, illustrations, facts and figures, quotations, etc. appearing in this booklet have been collected from various sources and should not be used for any commercial purposes or reproduced in any form without prior permission. The given information in brochure is Indicative and subject to change for betterment of the programme. Subject to Pune jurisdiction only.

UNESCO Chair for Human Rights,Democracy, Peace & Tolerance

World Peace Centre (Alandi) Pune, India

Paud Road, Kothrud, Pune-38. 020 7117 7137 / 42 [email protected]

mitwpu.edu.in

Please refer to the website for more details.

m sc | m ca

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