Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 1 year full-time
2 years part-time
All industries now utilise data and Data-Science and Data-Analytics are increasingly identified as key industrial activities. The position of Data Scientist is rapidly becoming a required post for any company that wishes to take full advantage of the data that they collect. This course is designed to give you the skills to step into a career as a Data Scientist in a wide range of industries and companies.
A 2:2 honours degree in a mathematically or computationally literate degree area.Applicants with degrees in other fields who can demonstrate relevant industrial experience may also be considered.EligibilityUK/EU and international students are eligible to apply for this course.Academic credit for previous study or experienceIf you have relevant or work experience, academic credit may be awarded towards your Middlesex University programme of study. For further information please visit our Accreditation of Prior Learning page.Interviews, entrance tests, portfolios and auditionsEntry onto this course does not require an interview, portfolio or audition.
For fees and funding options, please visit website to find out more
Graduates of the MSc Data Science programme will be positioned to enter a wide range of career paths, equipped with both the deep technical expertise and the practical, research-informed approach necessary to excel.
Specifically, graduates may find opportunities in sectors such as:
Technology and Software Development. Designing and implementing machine learning algorithms, developing AI-powered applications, and creating data-driven solutions in industries such as fintech, e-commerce, and gaming.
Healthcare and Biotechnology. Applying data science techniques to medical research, personalised medicine, bioinformatics, and health data analysis to improve patient outcomes and advance medical discoveries.
Finance and Consulting. Using advanced analytics to analyse financial markets, assess risks, create predictive models, and provide data-driven consulting services in areas like investment banking, insurance, and fintech.
Government and Public Policy. Leveraging data science to inform public policy decisions, optimise resource allocation, and analyse social, economic, and environmental data for governmental planning and strategic initiatives.
Retail and Marketing. Applying data analytics to understand consumer behaviour, optimise marketing strategies, and develop recommendation systems that drive customer engagement and business growth.
Research and Academia. Pursuing further academic study, such as PhD programmes in data science, machine learning, or AI, and contributing to cutting-edge research in social computing, artificial intelligence, and big data analytics.
AI-Enhanced image processing and computer vision (15 credits) - Compulsory
Machine Learning and AI for Data Science (30 credits) - Compulsory
Cloud and Big Data Technologies (15 credits) - Compulsory
Applied Data Science: From Processing to NLP and LLMs (30 credits) - Compulsory
Visual Data Analysis (15 credits) - Compulsory
Legal and Ethical Aspects of Data Science and AI (15 credits) - Compulsory
Research Methods and Postgraduate Project (60 credits) - Compulsory
Preparing for the Professional Placement - Compulsory
Postgraduate Work Placement - Optional
Postgraduate Work Placement (extended) - Optional
Master your future at Middlesex Postgraduate study at Middlesex is designed to move you forward. Whether you’re enhancing your career, changing direc...
