Applied Data Science

Understand data science and its role in a data-driven world

Data science is transforming how organisations operate, innovate, and make decisions. Across industries such as finance, healthcare, marketing, and public services, there is growing demand for professionals who can extract meaningful insights from complex data and apply them strategically.

The MSc Applied Data Science is a postgraduate degree designed to develop the technical, analytical, and practical skills needed to succeed in this rapidly evolving field - even if you do not have a prior background in computing.

You will learn how to collect, analyse, visualise, and manage data ethically, enabling you to turn information into actionable insights that drive real-world impact. In an increasingly data-driven economy, these skills are essential for organisations seeking innovation, efficiency, and competitive advantage.

Develop the skills to analyse data, solve problems, and drive decisions

This MSc Applied Data Science programme provides a comprehensive and accessible introduction to data science, combining technical knowledge with practical application.

You will explore key areas including data analytics, artificial intelligence, visualisation, and project management, while developing a strong understanding of the ethical, legal, and societal implications of data use.

A strong emphasis is placed on hands-on learning and real-world application. Through practical projects and case studies, you will build the skills needed to interpret data, identify patterns, and support strategic decision-making.

By the end of the programme, you will be able to:

• Collect, process, and analyse complex datasets
• Apply data analytics and AI techniques to real-world problems
• Design effective data visualisations to communicate insights clearly and impactfully
• Understand and apply ethical, legal, and governance principles
• Manage data-driven projects from concept to delivery

This programme is designed for students from a wide range of academic backgrounds, creating an inclusive and interdisciplinary learning environment that reflects the realities of modern data-driven organisations.

You will complete six core 20-credit modules, and a 60-credit Independent Scholarship project.

Please note that our modules are subject to change - we review the content of our courses regularly, making changes where necessary to improve your experience and graduate prospects.

The MSc Applied Data Science programme combines academic knowledge with practical, hands-on experience to support your career development.

You will engage with a range of learning methods, including:

• Lectures and interactive seminars
• Practical lab sessions and workshops
• Group work and collaborative projects
• Independent study and research

Teaching is designed to support students from diverse academic backgrounds, with a strong focus on building confidence in technical skills and data analysis.

You will work with industry-standard tools and technologies, applying your learning to real-world scenarios and case studies. Ethical considerations, sustainability, and responsible data use are embedded throughout the curriculum.

You will also benefit from:

• Access to specialist software and digital tools
• Online learning platforms and resources
• Career development support and professional skills training

How you’re assessed

Assessment is designed to reflect real-world data science practice and includes a combination of coursework, practical assignments, and research-based work.

You will be assessed through:

• Data analysis projects and coursework
• Case studies based on real-world scenarios
• Presentations (including data visualisation)
• Group projects
• Research-based assignments

Your final Independent Scholarship project will allow you to apply your knowledge to a real-world data challenge, demonstrating your technical, analytical, and problem-solving abilities.

Study options

You can study this course full-time or part-time, with entry points in September and January.

Full-time study

• September entry: The course is completed over 12 months. You will study two taught semesters from September to May, followed by your Independent Scholarship project over the summer period (May to August)
• January entry: The course is completed over 18 months. You will study your first semester from February to May, take a summer break, then complete your second semester in the Autumn, followed by your Independent Scholarship project in the Spring semester

Part-time study

Part-time on-campus study is available in two modes: Standard and Accelerated. Entry points are the same as full-time study (September and January).

Standard mode: Typically completed in approximately 3- 4 years. You will normally study one module per semester, allowing flexibility to balance your studies with work or other commitments.

Accelerated mode: Typically completed in approximately 2-3 years. You may study one or two modules per semester, depending on module availability and your preferred pace of study.

You may be able to switch between part-time modes during your course (subject to approval).

Please note: Part-time study is not available for students requiring a UK study visa.

Course duration and teaching hours

The University operates extended teaching hours, so contact time with lecturers and tutors may take place between 9am and 9pm. Timetables are normally available within 24 hours of enrolment.

Graduates of this MSc Applied Data Science programme develop highly sought-after skills in data analysis, problem-solving, and decision-making. These capabilities are in high demand across a wide range of industries.

You will be well prepared for roles such as:

• Data Scientist
• Analytics Consultant
• Data Analyst
• Business Analyst
• AI Specialist
• Data Visualisation Analyst
• IT Project Manager
• Research and analytics roles

Organisations across sectors are increasingly reliant on data-driven insights, creating strong demand for professionals who can combine technical expertise with strategic thinking.

The programme is designed to enhance your employability by developing both technical and transferable skills, including communication, teamwork, and project management. You may also choose to progress to further study at MSc or PhD level.

Applicants should hold a bachelor’s degree (minimum 2:2 or international equivalent) in any discipline.

No prior computing or data science experience is required. However, you should:

• Be willing to engage with mathematical concepts
• Be prepared to learn data analysis tools and programming principles

We welcome applications from students with diverse academic and professional backgrounds.

English language qualifications

If English is not your first language, or you have not successfully completed your highest level of qualification in English, you will need an English language qualification equivalent to a minimum IELTS (International English Language Testing System) average score of 6.5 or equivalent. 

If you enrol with this minimum score, you will be encouraged to engage with additional study to develop your knowledge and application of academic English.

View English language requirements

Note: International qualifications will be assessed for equivalency according to UK ENIC (formerly NARIC) guidelines and the university's international admissions policy.

Recognition of Prior Learning (RPL)

Have you already studied at another institution, completed a training course, or does your work experience appear equivalent to one or more modules of your chosen course? If so, you may be able to translate this prior learning into credits towards your course modules, so you don’t have to study them again.

Please note fees normally increase in line with inflation and the University's strategic approach to fees, which is reviewed on an annual basis. The total fee you pay may therefore increase after one year of study.

* UK full-time fees paid within one academic year are rounded down to the nearest £50 if applicable

About postgraduate awards

Please note at postgraduate level, you'll need to gain the following number of credits in total to obtain the respective awards. If you have any questions please contact us.

This means you will gain 180 credits in total to complete the full MA or MSc.

Funding your studies

Find out more about fees, postgraduate loans and support you may be entitled to.

Find out about funding your studiesFind out about funding your studies

Alumni discount for Derby graduates

We offer a discount on postgraduate course fees for all Derby alumni.

Find out about the Alumni discountFind out about the Alumni discount

Additional information about your studies

If you join in September, the duration of the course will be one year. If you enrol in January, the course duration will be 18 months.

Teaching hours

Like most universities, we operate extended teaching hours at the University of Derby, so contact time with your lecturers and tutors could be anytime between 9am and 9pm. Your timetable will usually be available on the website 24 hours after enrolment on to your course.

Recognition of Prior Learning (RPL)

Have you already studied at another institution, completed a training course, or does your work experience appear equivalent to one or more modules of your chosen course? If so, you may be able to translate this prior learning into credits towards your course modules, so you don’t have to study them again.

Further information about applying for credits for prior learning can be found in our recognition of prior learning section.