MSc Data Science with Placement Year

The MSc Data Science program provides three award options: MSc Data Science with Placement Year and MSc Data Science with Advanced Research. The program's goal is to offer students with a thorough understanding of mathematical and statistical ideas as well as practical data science abilities such as programming, database design, machine learning, modeling, simulation, and data visualization. It provides a broader participation pathway for students from varied backgrounds, with a curriculum designed to introduce them to key mathematics and statistical principles.

• For Near-STEM students, the normal entry requirements for the programme are a good (2.1 or above) Honours Degree (or equivalent) in a STEM subject (e.g. Mathematics, Engineering, Physical Sciences etc). If a student has a relevant STEM degree, then they will be considered ‘Near-STEM’. They will be offered the opportunity to participate in the Data Science Core Skills bootcamp but will not be required to participate/attend.
• For Far-STEM students, the normal entry requirements for the programme are a good (2.1 or above) Honours Degree (or equivalent). The subject of the degree is not defined, since (a) many different, disparate subjects might have a Data Science relevance (e.g. Business, Geography), and (b) some students might possess a non- STEM degree but have relevant experience (e.g. from employment). For far-STEM students who do not possess a good Honours Degree or equivalent, applications will be assessed on a case-by-case basis. Applicants may be asked to submit a short portfolio providing evidence of:
• A basic level of numeracy (e.g. GCSE maths)
• Experience and competency with IT / software (e.g. use of Microsoft Excel)
• Experience of a basic interaction with data of any form (e.g. inputting values, making calculations, examining imaging, etc.)

The MSc Data Science and Analytics degree provides Computer Science graduates with cutting-edge data science and analytics capabilities, allowing them to pursue positions in business, industry, government, and research. The course includes a work placement program that allows students to obtain practical experience in data science and analytics, such as data mining, machine learning, and data analytics applications. The program also offers academic and personal assistance, career guidance, and specialized training sessions. To be eligible for the placement period, students must pass all 60 credits of their studies on their first attempt.