|Study location||United Kingdom, Colchester Campus|
|Type||Master courses, full-time|
|Nominal duration||1 year|
Undergraduate diploma (or higher)
overall grade of 2:2 and above
IELTS: 6.0 overall (with a minimum component score of 5.5)
At least 1 reference(s) must be provided.
Reference should be written on official letterhead, signed and dated. Please upload it in the Documents section.
Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.
MSc Project and Dissertation (optional)
Machine Learning and Data Mining
Modelling Experimental Data
Artificial Neural Networks (optional)
Bayesian Computational Statistics (optional)
Big-Data for Computational Finance (optional)
Combinatorial Optimisation (optional)
High Performance Computing (optional)
Natural Language Engineering (optional)
Nonlinear Programming (optional)
Professional Practice and Research Methodology (optional)
Programming in Python (optional)
Information Retrieval (optional)
Data Science and Decision Making (optional)
Research Methods (optional)
Statistical Methods (optional)
Stochastic Processes (optional)
With a predicted shortage of data scientists, now is the time to future-proof your career. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course opens the door to almost any industry, from health, to government, to publishing.
Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other sectors.
We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.