Msc in Data-Intensive Analysis

at University of St Andrews

The taught part of this MSc programme includes four compulsory modules in statistics and data analysis, plus a choice of a further four modules in computer science, mathematics and statistics.

Teaching methods include lectures, seminars, tutorials and practical classes. Class sizes typically range from 10 to 50 students.

Most modules are assessed through practical coursework exercises and examinations.

All students are assigned an advisor who meets with them at the start of the year to discuss module choices and is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.

Modules
The modules in this programme have varying methods of delivery and assessment. For more details about each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue, which is for the 2021-2022 academic year; some elements may be subject to change for 2022 entry.

Compulsory

• Introductory Data Analysis: covers essential statistical concepts and analysis methods relevant for commercial analysis.
• Advanced Data Analysis: covers modern modelling methods for situations where the data fails to meet the assumptions of common statistical models and simple remedies do not suffice.
• Knowledge Discovery and Datamining: covers many of the methods found under the banner of "datamining", building from a theoretical perspective but ultimately teaching practical application.
• Applied Statistical Modelling using GLMs: covers the main aspects of linear models and generalized linear models, including model specification, various options for model selection, model assessment and tools for diagnosing model faults.

The University of St Andrews offers a variety of flexible entry options in order to ensure our doors remain open to all students, regardless of background or personal circumstances.

Although entry to St Andrews is competitive, we recognise a range of different qualifications and consider all aspects of your application, including context, your personal statement and references. Grades alone will not guarantee you admission, and actual offers may be higher or lower than the listed minimum grades required by each programme.

Information about our entry requirements can be found in academic entry explained and UK-based applicants can use our indicator to see which set of entry requirements they need to look at. All non-UK based applicants should look at our standard academic entry requirements.

The University also offers alternative entry routes for applicants who come from areas where we receive limited applications and who are unable to obtain the required grades, or for those who are returning to education after an extended period of time.

• SQA Highers: BBBB to AAAAB
• A-Level: ABB to A*A*A
• International Baccalaureate (IB): 36 (HL 6,5,5) to 38 (HL 6,6,6 plus SL 6,6,6). From 2021, programmes requiring A-levels Mathematics will accept either Mathematics: Analysis and Approaches or Mathematics: Applications and Interpretation at higher level.

Tuition fees

• Home: £10,395
• Overseas: £25,450

Alumni of Computer Science MSc programmes have gone on to work in a variety of global, commercial, financial and research institutions, including:

• Amazon
• American Express
• Avaloq
• Barclays Capital
• BP
• Capricorn Ventis
• Hailo
• Hewlett Packard
• Hitachi Data Systems
• Microsoft
• Rockstar
• Royal Bank of Scotland, Tesco Bank, Lloyds
• Skyscanner
• Symantec
• TriSystems