Computer Science and Mathematics with Industrial Experience
The Bachelor of Science (BSc) in Computer Science and Mathematics with Industrial Experience at the University of Manchester is a four-year, full-time program designed to equip students with a solid foundation in both computer science and mathematics. The program covers a wide range of topics, including algorithms, software engineering, data structures, computational theory, and mathematical modeling. Students will also gain practical experience in the industry during a year-long placement, which provides the opportunity to apply theoretical knowledge in real-world environments.
Throughout the program, students will develop problem-solving, programming, and analytical skills that are highly valued in industries such as software development, data science, finance, and technology. Graduates will be well-equipped for careers in fields like software engineering, computational mathematics, and tech consultancy, where they can apply their expertise to solve complex problems and drive technological innovations.
Key information
Key Facts
Program Title: Bachelor of Science (BSc) in Computer Science and Mathematics with Industrial Experience
Degree Type: Bachelor of Science (BSc)
Duration: 4 years
Mode of Study: Full-time, On Campus
Application Deadline: 14th January 2026
Location: University of Manchester, United Kingdom
Field of Study: Mathematics
Language of Instruction: English
Program Structure
Year 1 – Foundations of Computer Science and Mathematics
- Introduction to Computer Science and Programming
- Discrete Mathematics
- Calculus and Linear Algebra
- Data Structures and Algorithms
- Mathematical Logic and Proof Techniques
Year 2 – Intermediate Computer Science and Mathematics
- Object-Oriented Programming
- Probability and Statistics for Computer Science
- Numerical Methods and Optimization
- Database Systems and Theory
- Computer Systems and Architecture
Year 3 – Industrial Experience and Advanced Topics
- Industrial Placement/Internship in Computer Science or Mathematics
- Advanced Algorithms and Complexity
- Software Engineering and Development Practices
- Mathematical Modeling and Simulation
- Elective Modules in Advanced Computing or Mathematics
Year 4 – Advanced Computer Science and Mathematics
- Machine Learning and Artificial Intelligence
- Cryptography and Network Security
- Advanced Mathematical Methods for Computing
- Final Research Project in Computer Science or Mathematics
- Professional Development and Career Preparation
Career Opportunities
Graduates of the Computer Science and Mathematics with Industrial Experience program are well-prepared for careers in software development, data science, mathematical modeling, and system design. Potential roles include software engineer, data analyst, machine learning engineer, and systems architect. The industrial placement offers practical experience, providing graduates with valuable exposure to real-world applications in industries such as technology, finance, cybersecurity, and telecommunications. The combination of computer science and mathematics equips graduates with a strong skill set for both technical and analytical roles across diverse sectors.
Why Choose This Program
This program offers an interdisciplinary approach, combining computer science with mathematics, providing students with the analytical and technical skills needed for a wide range of careers. The industrial placement offers hands-on experience in the field, enhancing students' employability and offering insights into the latest industry practices. The program’s focus on advanced topics such as machine learning, cryptography, and mathematical modeling ensures that graduates are equipped with the skills to address complex challenges in computing and data analysis. With a strong foundation in both theory and practical application, this program prepares students for leadership roles in the fast-evolving tech industry.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)161 275 5252
Email: admissions@manchester.ac.uk
Address: University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
