Economics (Econometrics and Big Data) MSc

Program Overview

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Economics helps us decipher and shape our complex world. It offers unparalleled insights into how decisions by individuals, businesses, and the government affect important aspects of everyone’s life, including employment opportunities, the prices of products and services, and the overall standards of living.

Our MSc in Economics (Econometrics and Big Data) will help you build on your undergraduate studies to develop advanced capabilities in the discipline with an emphasis on quantitative techniques and their applications using big data. As policy-makers (such as central banks), businesses and finance companies increasingly use large and complex datasets to further their aims and discover trends and extract value, the need has arisen for professionals with the right theoretical and practical knowledge who can handle the data using the right machine learning and econometric estimation techniques.

The programme is designed to prepare you for a range of careers in which advanced quantitative skills and ability to work with big data using econometrics are required. Also, graduates of the programme are well placed for further study in economics or econometrics.

We are a top-10 UK economics school in research (REF 2021) and ranked 67

th

for business and economics in the world by the

Times Higher Education World University Rankings 2023.

Program Outline

Modules

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps.

The University operates a credit framework for all taught programmes based on a 15-credit tariff. Modules can be either 15, 30, 45, 75 and 120 credits, and additionally for some masters dissertations, 90 credits.

The structure of our programmes follows clear educational aims that are tailored to each programme. These are all outlined in the

programme specifications

which include further details such as the learning outcomes:

Economics (Econometrics and Big Data) MSc

Full-time

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Year 1 (full-time)

Module title	Status	Semester
ADVANCED QUANTITATIVE METHODS IN ECONOMICS	Compulsory	1
ECONOMETRICS 1	Compulsory	1
MACROECONOMICS	Compulsory	1
MICROECONOMICS	Compulsory	1
APPLICATIONS OF ECONOMETRICS TO BIG DATA	Compulsory	2
FINANCIAL ECONOMETRICS	Optional	2
MACHINE LEARNING METHODS AND BIG DATA	Compulsory	2
MATHEMATICS OF DATA SCIENCE	Optional	2
PYTHON PROGRAMMING IN FINTECH	Optional	2
THEORY AND APPLICATIONS IN FINANCE	Optional	2
RESEARCH METHODS	Compulsory	Year-long

Optional modules for Year 1 (full-time) - FHEQ Levels 6 and 7

Two from the list of optional modules

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Timetable

Course timetables are normally available one month before the start of the semester. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday – Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the Academic Hive. View our

Code of practice for the scheduling of teaching and assessment

(PDF).

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Contact hours

Contact hours can vary across our modules. Full details of the contact hours for each module are available from the University of Surrey's module catalogue. See the

modules section

for more information.