Data Science MSci/BSc (Hons)

Data scientists and analysts are in demand across a large range of sectors, from healthcare to finance, from marketing to transport. This course aims to provide the essential training you will need to be successful in this fast-moving, dynamic field. 

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 experience2 as you apply real-world, commercial software development practices within teams of your peers, preparing you for your career after graduation.

How you'll learn

• Learning will be facilitated through a variety of methods which may include lectures, seminars, lab, workshops, online activities and group work.

Teaching contact hours

• As a full-time undergraduate student, you will study modules totalling 120 credits each academic year. A typical 20 credit module requires a total of 200 hours study. This is made up of teaching contact hours, guided and independent study.

Teaching hours:

• Teaching hours vary each semester, year of study and due to module selection. During your first year you can expect 15-18 teaching hours each week. You will also have the option to attend optional sessions including time with a progress coach or to meet with staff for advice and feedback. As you progress through your studies, teaching hours may reduce.

Guided and independent study:

• Throughout your studies, you will be expected to spend time in guided and independent study to make up the required study hours per module. You'll be digging deeper into topics, review what you've learnt and complete assignments. This can be completed around your personal commitments. As you progress through your studies, you'll spend more time in independent study.

Online learning:

• As an innovative university, we use different teaching methods including online tools and emerging technologies. So, some of your teaching hours and assessments may be delivered online.

Assessment

• This course will be assessed using a variety of methods which will vary depending upon the module. 

Assessment methods may include:

• Formal Examinations
• Phase Tests
• Essays
• Group Work
• Presentations
• Reports
• Projects
• Coursework
• Exams
• Individual Assignments

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

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 a 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.