MSc in Data Science


 milanVojnovicThe MSc in Data Science provides training in data science methods, with a focus on statistical perspectives. You will receive a thorough grounding in theory, much of it at a high mathematical level, as well as gain practical skills of applied data science, enabling you to apply advanced methods of data science and statistics to investigate real world questions.

Your core courses will provide you with comprehensive coverage of some fundamental aspects of data science, computational techniques and statistical analysis. You will then choose courses from a range of optional modules ranging from distributed computing for big data and Statistical Computing, to Financial Statistics and probabilistic methods in risk management and insurance. The programme will combine traditional lectures with computer lab sessions, in which you will work with data to complete hands-on exercises using programming tools.

The capstone project or dissertation will assess your ability to take on large-scale data-based problem solving, providing a realistic example of the challenges faced in data science settings by the kinds of organisations for which the MSc programme provides natural training.

Professor Milan Vojnovic
MSc Data Science Programme Director


Entry Requirements

The normal entry requirement is a 2:1 degree or equivalent in a relevant discipline, including a substantial amount of mathematics. Well-qualified applicants who do not meet this requirement will be considered on merit.

For further practical details on how to submit an application, including the word limit on your personal statement, please see our MSc FAQs (Frequently Asked Questions).

To submit your application please visit our Graduate Admissions website here.


Course Structure

Our taught postgraduate courses are based around lectures, with problem classes and computer workshops. Most courses are assessed by a two-hour exam in the summer term although some contain an element of course work.

The courses in the programme are divided into two categories: compulsory courses and optional courses. Students must take courses to the value of four full units.


Compulsory Courses and Options

i. Three full units (equivalent to five courses)

ii. Optional courses to the value of one full unit from the following:

*Students who can demonstrate equivalent prior knowledge of MY470, via transcripts of prior qualifications, may skip this course and take a further half unit of options from the list above.

**Students who can demonstrate equivalent prior knowledge of ST447 via transcripts of prior qualifications, may skip this course and take a further half unit of options from the list above.

H = Half Unit, F = Full Unit


Programme details

A list of courses for this programme in the Programme Regulations section of the current School Calendar will be available shortly.


Further Information

For advice on your application please refer to the Frequently Asked Questions section of the Graduate Admissions website.


The Winton MSc Prizes in Data Science

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Two prizes made possible through the generous support of Winton are awarded to MSc in Data Science students.

The Winton Prize for Academic Excellence in MSc Data Science

Awarded to the MSc in Data Science student with the highest overall mark in their exams. One prize of £500 awarded.

The Winton Prize for Best Dissertation in MSc Data Science

Awarded to the MSc in Data Science student with the highest mark on their dissertation. One prize of £500 awarded.

Please visit the Winton website here.

This agreement is applicable from the 2017/18 academic year to the 2021/22 academic year.


 

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