MSc Data Science (Mathematics), Manchester University

Manchester,

12 Months

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About this course

This MSc in Data Science (Mathematics) welcomes students to dive deep into data and explore what data science can achieve. The course is designed to help students develop teamwork skills and study in a dynamic, interdisciplinary environment drawing on five different disciplines. It focuses on understanding data's power and potential, preparing students for diverse applications in the field.

Why this course is highly recommended

This program is ideal for those passionate about data and mathematics who want a comprehensive, interdisciplinary education. It offers a strong focus on teamworking and active learning, making it suitable for students interested in understanding and applying data science in real-world contexts.

Specialisation

While the course emphasizes data science with a strong mathematical foundation, it incorporates an interdisciplinary approach drawing on multiple disciplines, though specific specializations within the course are not detailed.

Course fees

Application fees

1st year tuition fees

33.78L

Living cost

Degree requirements

Applicants should hold a high 2:1 honours degree or overseas equivalent, with substantial mathematics coursework including Probability and Statistics, Calculus or Mathematical Analysis, and Linear Algebra. Demonstrating interest or experience in data analytics, computational subjects, and pathway-specific areas is also important, whether through coursework or professional experience.

English language test

IELTS

PTE

TOEFL

100

DUOLINGO

Career prospects

The course prepares students to absorb and work with data across various contexts, likely opening doors in data science, analytics, research, and related fields, although specific careers are not detailed.

FAQs

What are the entry requirements?

A high 2:1 honours degree or equivalent in a related field, with math courses such as Probability, Statistics, Calculus, and Linear Algebra.

When can I start the course?

The course begins in 2025, with options for full-time, part-time, and distance learning modes.