Data Science MSci (Hons)
DURATION
4 up to 5 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
Sep 2025
TUITION FEES
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STUDY FORMAT
On-Campus
Introduction
Course Overview
The course brings together a range of techniques that the modern data scientist needs. You will study modules in mathematics, data analysis and computing, and tackle a variety of interesting and engaging problems from the latest research studies, business and industry.
Why you should study this course
- You will have the chance to equip yourself with transferable and professional skills which prepare you for employment in industry, business, or education.
- You will be provided with the opportunity to develop critical and reflective skills required for problem-solving in a variety of contexts.
- The course has a particular emphasis on modern applications and the use of appropriate computational methods, software and technology.
- You can expect to improve your knowledge and understanding of the theory and practice of the latest data science, as well as the use of computational methods.
- You will have the chance to gain industry-relevant experience as you apply real-world, commercial software development practices within teams of your peers, preparing you for your career after graduation.
Admissions
Curriculum
Year One
In your first year, you will be taught the fundamental skills and concepts needed to begin your journey as a data scientist. You’ll be familiarised with the mathematical, statistical and computational foundations, and you will apply those principles in laboratory sessions which help solidify your understanding. You will also begin developing the professional skills you will need in your day-to-day career on graduation, e.g. working as part of a team and the ethical and legal issues around data structure and models.
Modules:
- Calculus
- Algebra
- Programming: Concepts and Algorithms
- Probability and Statistics
Year Two
In your second year, you will develop more advanced knowledge and skills to do with data science, linear statistical models and artificial intelligence (AI), amongst others.
Modules:
- Artificial Intelligence
- Linear Algebra and Differential Equations
- Advanced Algorithims
- Data Science
- Linear Statistical Models
- Data Science Group Project
Placement Year
There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement2 can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future.
Modules:
- UK Work Placement
- International Study/Work Placement
Final year
The final stage of your Data Science BSc (Hons) course, you'll cover advanced topics in data science including big data management and visualisation methods, machine learning algorithms, Artificial Neural Networks (ANNs) and advanced statistical methods.
Modules:
- Data Visualisation
- Statistical Methods for Data Science
- Machine Learning
- project Discovery
- Dissertation and Project Artefact
- Optional Modules
Additional Year
If you meet the progression requirements, you could choose to take an additional fourth-year master's option, which will deepen your knowledge and expertise.
This year provides insight into more advanced topics in data science and can act as a stepping stone to postgraduate research or further study.
Modules
- Artificial Neural Networks
- Machine Learning
- Natural Language Processing
- Big Data Analytics and Data Visualisation
- Data Management Systems
- Modelling and Optimisation Under Uncertainty
- Individual Research Project Preparation
- Individual Research Project
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
Program Tuition Fee
Career Opportunities
This data science course is focused on preparing you to work in one of the most dynamic fields in the digital age, with a focus on transferrable and work-ready skills.
As a data analyst, you may often find yourself working in a multi-disciplinary environment, as you bring your technical skills and knowledge to bear upon a specific business issue. This is precisely the type of situation upon which Coventry University built this course, aiming to equip you for the world of work.
Data analysts have job prospects in areas such as business analysis, risk analysis, energy demand forecasting, health analytics, sports analytics, web analytics, games data analytics, social media analytics and more.
Where our graduates work
Previous students have found employment as Financial Analysts at IBM, Gaming Financial Analysts for Warner Bros, Finance Assistants at Scottish Power, Business Performance Process Analysts at National Grid, Power Analysts at E.ON and Customer Service Analysts for Cummins.
Recent graduates have embarked on Finance Graduate Schemes, as Customer Services Analysts, Graduate Actuary, Information Analysts and Trainee Accountants for companies like E.ON, National Grid, Thames Water, NHS, Hodge Lifetime Solutions and Prime Accountants. Others have also used their qualifications to progress into teaching careers, as well as postgraduate study to obtain MSc, MPhil and PhD qualifications.