Statistical Science (International Programme) MSci

4.0
2 opinions
  • Intimidating at first it shouldn't take too long for one to appreciate the pace, structure and diversity unique to Central London. I believe that for someone interested in learning, especially from their peers,
    |
  • Read everything you can before applying/starting the course. Awarding a master degree from a highly renowned university and developing an innovative master-s thesis help to boost any curriculum.
    |

Master

In London

£ 9,250 VAT inc.

Description

  • Typology

    Master

  • Location

    London

  • Duration

    4 Years

Description

In each year of your degree you will take a number of individual modules, normally valued at 15 or 30 credits, adding up to a total of 120 credits for the year. Modules are assessed in the academic year in which they are taken. The balance of compulsory and optional modules varies from programme to programme and year to year. A 30-credit module is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).
In this four-year programme, you will spend the first two years at UCL following the structure of the Statistics BSc, the Statistics, Economics and Finance (SEF) BSc, or the Statistics, Economics and a Language (SEL) BSc.
The third year is spent at a leading university abroad. Currently, study in Bologna, Munich, Perth, Purdue, Singapore, Toronto and UCLA is available. The fourth year is spent at UCL and consists of advanced modules and project work allowing you to deepen your understanding of the subject.

Facilities

Location

Starts

London
See map
Gower Street, WC1E 6BT

Starts

On request

To take into account

The year abroad offers the opportunity to enhance your understanding of another culture and potentially develop your communication skills in another language. The department offers a friendly and supportive atmosphere, where small-group teaching and personal attention are available for all students. The programme is accredited by the Royal Statistical Society (RSS) enabling you to be granted Graduate Statistician (GradStat) status if you achieve second-class honours or above and choose at least 50% of your year two and four modules in statistics (see accreditation note). Teaching is enhanced by the varied research interests of our academic staff; from the foundations of the subject to applications of statistics in science, medicine, industry, economics and finance.

Together with subject-specific knowledge, the programme is designed to equip you with skills valued by employers including: advanced numeracy and quantitative skills, analytical and problem-solving skills, and computing skills. You will also develop your research skills, communication skills and word processing skills through statistical project work. The demand for graduates with training in statistical science is now a permanent feature in both advanced and developing countries for jobs in finance, commerce, industry, research, education and government. Graduates from this department are well-represented in all these fields, in this country and overseas, and recent graduates have continued to be successful in obtaining a wide variety of jobs. Popular career choices of previous graduates include the financial sector, training in the actuarial or accountancy professions and jobs in industry and commerce. Postgraduate study, for example in advanced statistics, medical statistics, actuarial science, finance or economics, provides further options.

English Language and Mathematics at grade C or 5. For UK-based students, a grade C or 5 or equivalent in a foreign language (other than Ancient Greek, Biblical Hebrew or Latin) is required.

On application to the Royal Statistical Society, graduates are awarded Graduate Statistician (GradStat) status, providing formal recognition of a member's statistical qualifications, subject to achieving second-class honours or above, and at least 50% of your year two and four modules are in statistics.

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Opinions

4.0
  • Intimidating at first it shouldn't take too long for one to appreciate the pace, structure and diversity unique to Central London. I believe that for someone interested in learning, especially from their peers,
    |
  • Read everything you can before applying/starting the course. Awarding a master degree from a highly renowned university and developing an innovative master-s thesis help to boost any curriculum.
    |
100%
4.5
fantastic

Course rating

Recommended

Centre rating

Ayanda Joe Munikwa

3.0
23/06/2018
What I would highlight: Intimidating at first it shouldn't take too long for one to appreciate the pace, structure and diversity unique to Central London. I believe that for someone interested in learning, especially from their peers,
What could be improved: -
Would you recommend this course?: Yes

Student

5.0
12/07/2017
What I would highlight: Read everything you can before applying/starting the course. Awarding a master degree from a highly renowned university and developing an innovative master-s thesis help to boost any curriculum.
What could be improved: Nothing
Would you recommend this course?: Yes
Reviews gathered by Emagister & iAgora

Achievements for this centre

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 10 years

Subjects

  • Statistics
  • Economics
  • Finance
  • Stochastic systems
  • Stochastic Methods in Finance
  • Statistical Computing
  • Medical statistics
  • Forecasting
  • Factorial Experimentation
  • Decision and Risk

Course programme

YEAR 1

Core or compulsory module(s)
  • Introduction to Probability and Statistics
  • Introduction to Practical Statistics
  • Further Probability and Statistics
  • Mathematics for Students of Economics, Statistics and Related Disciplines I
  • Mathematics for Students of Economics, Statistics and Related Disciplines II

Optional modules

Any additional modules can be chosen from a wide range of optional modules, depending on the stream you choose.

YEAR 2

Core or compulsory module(s)
  • Linear Models and the Analysis of Variance
  • Mathematics for Students of Economics, Statistics and Related Disciplines III
  • Probability and Inference
  • Introduction to Applied Probability
  • Computing for Practical Statistics
Optional modules

You will select your remaining modules from a wide range of optional modules. UCL Statistical Science options may include Optimisation Algorithms in Operational Research, and Social Statistics. Modules from other departments may also be possible.

YEAR 3

  • Year abroad

You will spend year three studying at a leading university abroad.

YEAR 4

Core or compulsory module(s)
  • Statistical Inference
  • Statistical Science Project
Optional modules

You will select 2.5 credits from a wide range of Master's-level options. UCL Statistical Science options may include:

  • Applied Bayesian Methods
  • Decision and Risk
  • Factorial Experimentation
  • Forecasting
  • Medical Statistics I
  • Medical Statistics II
  • Selected Topics in Statistics
  • Statistical Computing
  • Statistical Design of Investigations
  • Statistical Models and Data Analysis
  • Stochastic Methods in Finance I
  • Stochastic Methods in Finance II
  • Stochastic Systems
Your learning

We employ a variety of teaching methods which include lectures, small-group tutorials, problem classes and computer workshops and e-learning. Lecturers have regular 'office hours' during which you are welcome to come and ask questions about the programme material.

Assessment

Most modules are examined at the end of the academic year in which they are taken using a combination of end-of-year examinations and in-course assessment. Prizes may be awarded to the most outstanding students in the first, second and third year.



Additional information

Overseas students Fee - £23,390 (2018/19)

Statistical Science (International Programme) MSci

£ 9,250 VAT inc.