3 Years On Campus Bachelors Program
Nottingham Trent University offers a BSc (Hons) Computer Science and Mathematics, designed for students who have an equal passion for computing and the theory of mathematics. The course provides a well-rounded learning experience, interweaving programming, algorithms, and software engineering with problem-solving skills that are analytical and logical in approach. It is intended to prepare students for careers that involve computational thinking, technical skill, and mathematical precision across a variety of fields, including finance, technology, data science, and engineering.
Curriculum Structure:
The course at Nottingham Trent University blends theoretical study with opportunities to apply learning through practical projects. The course includes:
• Core Mathematics and Computing: Compulsory modules in calculus, algebra, discrete mathematics, and computer systems.
• Programming and Software Development: Modules in programming languages, object-oriented development, and algorithms.
• Data and Logic: Material covering statistics, probability, logic, and their application in computing.
• Applied Computational Modules: Numerical methods, artificial intelligence, and machine learning projects.
• Final Year Project: A large individual research or development project that combines the two subjects, typically solving a real-world problem using computational techniques.
Accreditation:
The course is accredited by BCS (The Chartered Institute for IT), which means it is of a guaranteed professional quality and supports pathways towards chartered IT professional status. This ensures that graduates have not just the academic knowledge but also industry-relevant skills required to make it big in the tech world.
Campus Location:
The course is based on the Nottingham Trent University City Campus, right in the heart of Nottingham. Students are provided with modern computer labs, silent study areas, and social learning spaces to allow independent learning as well as problem-solving in groups. Vibrant campus life within the university encourages interaction and creativity.
NTU is well known for practical, hands-on learning. Students gain valuable real-world experience to complement their academic coursework during the course:
• Research-Led Projects: Students have the option to collaborate with faculty on ongoing research involving mathematical modeling and computer applications.
• Industry Placements: Many students take a placement year, gaining work experience in the technology, finance, and data analysis industries.
• Hackathons and Coding Competitions: Participation in these activities enables students to improve their programming and problem-solving abilities under intense time pressure.
• Student Societies and Conferences: Engagement in student societies and university-organized events benefits students by providing opportunities to network, enhance soft skills, and keep abreast of the latest developments in the field.
• International Exchanges: Global mobility is encouraged at the university, and students can spend time studying overseas or participating in international projects that broaden their outlook.
The university's employability support services provide students with overall support to plan their future careers:
• Individual career guidance to determine the students' strengths and aspirations.
• CV construction, interview techniques, and personal branding sessions.
• Employability fairs and networking sessions with computing, data, and finance employers.
• Use of NTU's career portal even after graduation.
Employability:
Graduates of this course are well positioned for careers that demand both analytical and computing skills. Software development, data analysis, financial modeling, machine learning, IT consultancy, and systems design are a few career options. Several students pursue careers in banking, insurance, government, logistics, and the technology industry. Employers value the combination of technical computer science expertise and formal mathematical thinking this degree offers.
Further Academic Progression:
Students can go on to complete postgraduate degrees such as an MSc in Computer Science, Data Science, Applied Maths, or Artificial Intelligence. Some will further specialise with diplomas or certificates, while others pursue research degrees or academic routes, supported by the analytical and problem-solving fundamentals gained while they were undergraduates.
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