msc in data and computational science introductiononaraigh/acm_msc/presentation.pdf · msc in data...
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MSc in Data and Computational Science –Introduction
Lennon O Naraigh and Andrew Parnell
University College Dublin
School of Mathematics and Statistics
September 8, 2017
What is it all about?
Joint master’s degree in Statistics and Applied and Computa-tional Mathematics
Aims to give graduates sought-after skills in Data Analyticsindustries
Also, aims to give graduates skills that can be used in aca-demic research (e.g. Ph.D.), either in Statistics or Applied andComputational Mathematics
Twin-track nature of degree (academic/industry) exemplified by dis-sertation in third semester – teaches research skills but also, projectmanagement, working under own direction etc.
It is not computer science...
The programme is heavily focused on computational science (i.e.algorithms, scientific computing, parallel computing for simulation,and mathematical modelling) and statistics (both theoretical andcomputational).
... but you will learn a lot of programming:
C, R, Matlab, Python, Mathematica
High-Performance Computing (MPI) with the Irish Centre forHigh-End Computing (ICHEC)
It is not computer science...
The programme is heavily focused on computational science (i.e.algorithms, scientific computing, parallel computing for simulation,and mathematical modelling) and statistics (both theoretical andcomputational).
... but you will learn a lot of programming:
C, R, Matlab, Python, Mathematica
High-Performance Computing (MPI) with the Irish Centre forHigh-End Computing (ICHEC)
Why?
“8 out of 10 people working in data sciencethink data science is all about Machine Learn-ing... With the advent of Automated MachineLearning and Deep learning... the whole ma-chine learning has just come down to one bigpiece of automated code. Which means manydata scientists would become redundant andlose jobs in near future whose main everydaytask is building machine learning models.” ”https://www.linkedin.com/pulse/ (July 17th)
Why?
“So what should one learn? Learn things whichhelp you understand ‘Cause’ and ‘Effect’ re-lationship between things... Learn the hardstuff – learn Statistics especially Bayesian...Learn anything which gives you the abilityto link an effect and the probable reasoncausing it to help you take good decisions. ”This degree will teach you these things!
Structures – Core modules
Structures – Option modules
Structures – Option modules
FAQs
ICHEC modules are given in blocks outside of regularsemester times. Last year – Blocks in January and March andthen again in June and July. Expect the same this year – willconfirm dates shortly. Important for booking holidays and(for PT students) getting time off work.
Choose option streams based on your likes and interests, butremember, STAT40660 is mandatory for those without asemester-long module in Probability AND a semester-longmodule in Inferential Statistics
FAQs
Special Topics I and II – Theoretical Partial DifferentialEquations, Coding Theory, Combinatorics, Advanced Matrixtheory
Contact lecturers / module coordinator and register asap(module coordinator is Dr Vincent Astier).Depending on the number of students, these modules will begiven as a reading module or as a regular module.
Second semester – ACM41000 – class divides in two streamsfor first six week depending on students’ backgroundknowledge of Differential Equations – more info later insemester about this.
Last year’s graduates – four students (Paddy Power,Regeneron, KBC Bank, one still finishing up).
Dissertation
All students guaranteed a dissertation topic (core module)
Last year’s topics – Parallel I/O for Computational Fluid Dynamics,Deep Learning, Wave-energy Forecasting, Financial Mathematics –topics may very from year to year depending on supervisor availabilityTopics will be announced early in Semester 2 – students can approachpotential supervisors beforehand if they have a good idea of the sort oftopic they would like to work on.Groups of two or three students – each group works on a topictogether; each individual in the group submits a separate dissertationat the end.Dissertation criteria – summary/explanation/implementation ofexisting knowledge necessary; Can go beyond this and produce newknowledge leading in some cases to a publication.Expect one ACM dissertation for one student to be abroad (and fullyfunded) in a partner lab – details to follow in November/December.
Dissertation
All students guaranteed a dissertation topic (core module)Last year’s topics – Parallel I/O for Computational Fluid Dynamics,Deep Learning, Wave-energy Forecasting, Financial Mathematics –topics may very from year to year depending on supervisor availability
Topics will be announced early in Semester 2 – students can approachpotential supervisors beforehand if they have a good idea of the sort oftopic they would like to work on.Groups of two or three students – each group works on a topictogether; each individual in the group submits a separate dissertationat the end.Dissertation criteria – summary/explanation/implementation ofexisting knowledge necessary; Can go beyond this and produce newknowledge leading in some cases to a publication.Expect one ACM dissertation for one student to be abroad (and fullyfunded) in a partner lab – details to follow in November/December.
Dissertation
All students guaranteed a dissertation topic (core module)Last year’s topics – Parallel I/O for Computational Fluid Dynamics,Deep Learning, Wave-energy Forecasting, Financial Mathematics –topics may very from year to year depending on supervisor availabilityTopics will be announced early in Semester 2 – students can approachpotential supervisors beforehand if they have a good idea of the sort oftopic they would like to work on.
Groups of two or three students – each group works on a topictogether; each individual in the group submits a separate dissertationat the end.Dissertation criteria – summary/explanation/implementation ofexisting knowledge necessary; Can go beyond this and produce newknowledge leading in some cases to a publication.Expect one ACM dissertation for one student to be abroad (and fullyfunded) in a partner lab – details to follow in November/December.
Dissertation
All students guaranteed a dissertation topic (core module)Last year’s topics – Parallel I/O for Computational Fluid Dynamics,Deep Learning, Wave-energy Forecasting, Financial Mathematics –topics may very from year to year depending on supervisor availabilityTopics will be announced early in Semester 2 – students can approachpotential supervisors beforehand if they have a good idea of the sort oftopic they would like to work on.Groups of two or three students – each group works on a topictogether; each individual in the group submits a separate dissertationat the end.
Dissertation criteria – summary/explanation/implementation ofexisting knowledge necessary; Can go beyond this and produce newknowledge leading in some cases to a publication.Expect one ACM dissertation for one student to be abroad (and fullyfunded) in a partner lab – details to follow in November/December.
Dissertation
All students guaranteed a dissertation topic (core module)Last year’s topics – Parallel I/O for Computational Fluid Dynamics,Deep Learning, Wave-energy Forecasting, Financial Mathematics –topics may very from year to year depending on supervisor availabilityTopics will be announced early in Semester 2 – students can approachpotential supervisors beforehand if they have a good idea of the sort oftopic they would like to work on.Groups of two or three students – each group works on a topictogether; each individual in the group submits a separate dissertationat the end.Dissertation criteria – summary/explanation/implementation ofexisting knowledge necessary; Can go beyond this and produce newknowledge leading in some cases to a publication.
Expect one ACM dissertation for one student to be abroad (and fullyfunded) in a partner lab – details to follow in November/December.
Dissertation
All students guaranteed a dissertation topic (core module)Last year’s topics – Parallel I/O for Computational Fluid Dynamics,Deep Learning, Wave-energy Forecasting, Financial Mathematics –topics may very from year to year depending on supervisor availabilityTopics will be announced early in Semester 2 – students can approachpotential supervisors beforehand if they have a good idea of the sort oftopic they would like to work on.Groups of two or three students – each group works on a topictogether; each individual in the group submits a separate dissertationat the end.Dissertation criteria – summary/explanation/implementation ofexisting knowledge necessary; Can go beyond this and produce newknowledge leading in some cases to a publication.Expect one ACM dissertation for one student to be abroad (and fullyfunded) in a partner lab – details to follow in November/December.
Registration issues
You might have taken the equivalent of one or two of the coremodules before – discuss with academic directors to findsubstitutes.
There might also be gaps in your knowledge of thefoundational material for the programme – hence programmecore STAT40660 in first semester and split ACM41000 insecond semester.
Academic directors: me (ACM modules) and Andrew Parnell(STAT modules):
Kate O’Hanlon (school office, Science North) is the TaughtGraduate Administrator and will help with technicalregistration issues.
Registration issues
You might have taken the equivalent of one or two of the coremodules before – discuss with academic directors to findsubstitutes.
There might also be gaps in your knowledge of thefoundational material for the programme – hence programmecore STAT40660 in first semester and split ACM41000 insecond semester.
Academic directors: me (ACM modules) and Andrew Parnell(STAT modules):
Kate O’Hanlon (school office, Science North) is the TaughtGraduate Administrator and will help with technicalregistration issues.
Registration issues
You might have taken the equivalent of one or two of the coremodules before – discuss with academic directors to findsubstitutes.
There might also be gaps in your knowledge of thefoundational material for the programme – hence programmecore STAT40660 in first semester and split ACM41000 insecond semester.
Academic directors: me (ACM modules) and Andrew Parnell(STAT modules):
Kate O’Hanlon (school office, Science North) is the TaughtGraduate Administrator and will help with technicalregistration issues.
Registration issues
You might have taken the equivalent of one or two of the coremodules before – discuss with academic directors to findsubstitutes.
There might also be gaps in your knowledge of thefoundational material for the programme – hence programmecore STAT40660 in first semester and split ACM41000 insecond semester.
Academic directors: me (ACM modules) and Andrew Parnell(STAT modules):
Kate O’Hanlon (school office, Science North) is the TaughtGraduate Administrator and will help with technicalregistration issues.
School office location