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Overview

This unique combination of data science and entrepreneurship gives you the tools to identify opportunities and build new ventures. 

Today’s data science tools give us the ability to get to the heart of our most complex problems. In this conversion course, we’ll give you the tools to take these insights even further.

In our Data Science and Entrepreneurship MSc, you'll analyse and interpret rich datasets. You'll then use these findings to build sustainable and innovative new projects.

You'll be trained by data science professionals, including experts at the . NICD works with organisations worldwide to solve challenges through data. You'll receive a strong grounding in programming, AI, statistics and machine learning. We'll discuss real industry challenges, and give you the training to deliver solutions.

You’ll also explore the relationship between technology and entrepreneurship. You'll learn how to identify business opportunities, build new ventures, and consider factors such as value propositions and market trends.

In your final semester, you'll either deliver a dissertation, or build a business plan for a venture of your choice.

You'll graduate with the ability to take an entrepreneurial approach to projects. It's a skillset that will transform your career, whether you're starting a new business or re-thinking an established one.

Who this course is for

This conversion course is designed for applicants who do not hold a degree in computer science or a related computational field.

Quality and ranking

Professional accreditation review and recognition of professional qualifications in Europe

Professional accreditations are reviewed regularly by professional bodies to ensure they meet the latest industry practices and regulatory standards. This keeps your degree rigorous, relevant, and highly valued by employers, providing a clear pathway into your chosen career.

If you are studying an accredited degree and considering a career in Europe after graduation, it is important to stay informed about international standards. The best resource for current information is the .

This official resource provides essential details on:

• whether your profession is regulated in another country.
• the specific steps you need to take to practice abroad.
• which organisations you should contact to begin the process.

What you'll learn

Phase one: Core foundations in Data Science

You’ll build a solid foundation in programming, statistics, machine learning and data handling and visualisation, using tools such as R and Python.

In your second semester, you’ll explore the theory and applications of data science in greater depth. A skills-based module delivered by NICD will allow you to work on solutions to real challenges drawn from NICD’s client projects.

You’ll also develop your legal skills, focusing on:

• legal frameworks
• data protection, privacy and security
• equality and non-discrimination

Phase two: Applying entrepreneurial thinking to Data Science

You’ll learn how to identify opportunities using data science and develop them into well-structured projects.

You’ll explore how to create sustainable new ventures, discuss the relationship between technology and entrepreneurship and discover how to develop entrepreneurial strategies.

Phase three: Capstone project

You’ll undertake an in-depth project that tests your knowledge of data science and entrepreneurship.

This may involve:

• A research dissertation on an entrepreneurship and data science topic
• The development of a practical business plan for a new venture related to data science

Modules

The module information on our course pages is intended to provide an example of what you will study.

Our teaching is informed by research. Course content changes periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.

Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.

Some courses have optional modules. Student demand for optional modules may affect availability.

Data Science and Entrepreneurship MSc

You'll take the following compulsory modules:

Compulsory modules	Credits
Data Visualisation and Data Handling	20
Programming and Machine Learning	20
Foundations of Data Science and Artificial Intelligence	20
Data Science and AI in Practice	20
Technology and Entrepreneurship	10
Sustainable Venture Creation	20
Entrepreneurial Strategy	10

You'll also take one of the following modules:

Optional modules	Credits
Data Science and Entrepreneurship Dissertation	60
Data Science and New Venture Creation Plan	60

Module information for 2027 entry

The modules listed here show our planned 2027 curriculum, but the links connect to our live 2026 modules (as the 2027 ones are not yet live). Consequently, some titles may differ. Some modules are also listed as inactive, but will be active for 2027 entry. The updated 2027 module details will be published ahead of the academic year.

How you'll learn

Delivery and teaching methods

You will be taught using methods including:

• lectures
• small group activities
• workshops
• seminars
• formative coursework

Assessment methods

Depending on your modules, you'll be assessed through a combination of:

• Case study
• Computer assessment
• Dissertation
• Oral presentation
• Poster
• Portfolio
• Problem-solving exercises
• Report
• Reflective log
• Research proposal
• Written exercise

Additional assessment information

You will have opportunities to work individually and in groups on entrepreneurial ideas and projects informed by data science initiatives.

Some assessments will be completed on our specialist software, Numbas.

Support

START UP

Our START UP team provides entrepreneurial support to any student or recent graduate who wants to start a business or explore freelancing. We can provide:

• advice and coaching
• events workshops
• co-working space
• grant funding
• resources and opportunities
• support for students studying on a student visa

Data Science resources

Before the course begins, you’ll receive a set of resources designed to support your transition into data science. These materials provide a fast-paced refresher on key mathematical concepts, helping bridge the gap between what you’ve learned previously and what you'll encounter on the course. You’ll start your course with confidence and be able to refer to the resources as your learning progresses.

Practical sessions

The course includes many practical sessions, allowing you to try out different skills and techniques with the support of academic staff and demonstrators.

Numbas learning software

You'll have access to specialist learning software called Numbas. Developed at Â鶹´«Ã½, it's now used by mathematicians and statisticians worldwide.This innovative software allows you to work on interactive code worksheets, so you can test and refine the mathematics skills you’ll need for data science.

Maths-Aid

Students can make use of Maths-Aid, a team of experts who provide support and advice on all aspects of maths and statistics.

Statistics and Data Science clinic

During your capstone project, you’ll be supported by our Statistics and Data Science Clinic. You can book one-to-one sessions with our expert data scientists. Whether you need support with a technical issue or refining your analysis, tailored support is available to help your project progress. This support is in addition to your project supervisor.

Our staff

This course is led by Dr Eftychia Palamida, Lecturer in Creativity and Entrepreneurship. She specialises in:

• cognitive processes in entrepreneurship
• entrepreneurial psychology in venture creation and growth
• entrepreneurial/intrapreneurial teams
• entrepreneurial education

The course is delivered by:

• School of Mathematics, Statistics and Physics
• Â鶹´«Ã½ Business School

Our course is informed by the latest developments in data science and entrepreneurship. You’ll work alongside academics who are at the forefront of research and industry collaboration, including:

• Centre for Data Science and AI: Driving the development and application of new methods for extracting the value from data
• Statistics and Data Science: World-class research in modern statistics and data science
• Scalable Computing: Internationally renowned for tackling research challenges in high-performance systems, data science, machine learning and data visualisation
• Entrepreneurship and Innovation: Undertaking cutting-edge research to help businesses, individuals and governments harness the power of innovation

We are also home to the UK’s , which collaborates with industry partners across multiple sectors.

Your development

Through a module delivered by the NICD, you’ll develop key professional skills by working through real innovation processes. You’ll take a problem from initial conception through to a practical, client-focused solution.

You’ll also strengthen your teamwork and communication skills by working on a group project. You’ll learn how to present your findings clearly to non-specialist audiences.

Research skills

You’ll learn how to formulate and deliver in-depth and data-driven research projects. Key skills will include formulating robust hypotheses, selecting appropriate analytical methods, analysing data and communicating findings in a clear and compelling way. 

Practical skills

This course builds entrepreneurial skills, which are valuable for starting new businesses and developing projects in established organisations.

You’ll learn:

• to apply entrepreneurial and innovative thinking to existing problems
• to identify opportunities for data-driven innovations that address existing business challenges
• to scope, synthesise and analyse new ideas, approaches and processes
• to use appropriate statistical software to analyse data sets, and interpret the results
• to identify and address potential ethical issues in projects or ideas

You'll also become adept at working independently and in groups to a set deadline. You'll improve your presentation and problem-solving skills through industry-focused challenges and projects.

Work experience opportunities

While this course does not include a formal placement, you'll gain practical experience through working with our industry partners on real-world projects. 

Our Careers Service also offers support in securing work experience and placements.

Your future

This course is designed to help you identify opportunities using data science and turn them into sustainable, innovative projects. 

These are crucial skills in entrepreneurship, but will also enable you to build and manage projects in established organisations. When you graduate, you'll be able to progress to a career in fields including:

• launching start-ups (either solo or as a group)
• entrepreneurial and innovation consultancy
• large corporates
• third-sector organisations such as charities and social enterprises
• policy design for local, national or international organisations

Further study

Once you graduate, you’ll have the knowledge to progress to PhD-level study and further research opportunities in academia.

Industry links

We are supported by an Industrial Advisory Board (IAB) that provides strategic advice and industry insights to support the development of programmes in the School of Computing. The IAB includes representatives from:

• Google
• Meta
• IBM
• The Alan Turing Institute
• Airbus
• Defence Science and Technology Laboratory (DSTL)
• JP Morgan
• Lloyds Bank
• PwC

Dedicated Careers Consultant and Employability Facilitator

Alongside support from our central Careers Service, you’ll benefit from a dedicated Careers Consultant and Employability Facilitator. You can book one-to-one appointments to plan your next steps, and take part in a full programme of employability events and workshops throughout the year.

These careers resources are designed to help you develop your skills, connect with employers, and grow your professional network.

Our Careers Service

Our expert Careers Service is here to help you take the next steps in your professional life. We'll support you while you’re studying with us and for up to three years after you graduate.

You'll have access to expert one-to-one advice and guidance through our campus careers centre and online, along with digital resources, workshops, networking opportunities, and careers and recruitment events.

We’ve been awarded 5 QS Stars for Student Employability (2025). Many of our degrees are shaped by strong links with national and international businesses. We're committed to helping you access real-world experience opportunities and develop key skills through paid work placements and internships.

Visit our Careers Service website

Our Careers Service

Our expert Careers Service is here to help you take the next steps in your professional life. We will support you while you’re studying with us and for up to three years after you graduate.

You will have access to expert one-to-one advice and guidance through our campus careers centre and online, along with digital resources, workshops, networking opportunities, and careers and recruitment events.

We’ve been awarded 5 QS Stars for Student Employability (2025). Many of our degrees are shaped by strong links with national and international businesses. We are committed to helping you access real-world experience opportunities and develop key skills through paid work placements and internships.

Visit our Careers Service website

Facilities

Urban Sciences Building

The Urban Sciences Building (USB) is a flagship £58 million development located on the £350 million Â鶹´«Ã½ Helix regeneration site in the heart of Â鶹´«Ã½. Â鶹´«Ã½ Helix brings together:

• academia
• the public sector
• communities
• business and industry

The USB is a living laboratory and has over 4,000 sensors that record detailed research data, which can be used in student projects.

As a student, you'll have access to facilities including:

• 300+ PCs
• large, flexible computer clusters
• collaborative spaces for study or group projects
• dedicated practical space for postgraduate students
• Urban Café

Explore the Urban Sciences Building

Learn more about the Â鶹´«Ã½ Helix

Herschel Building

You'll join the School of Mathematics, Statistics and Physics, based in the Herschel Building.

A well-equipped learning environment will support your studies, and you'll have access to extensive IT facilities for teaching and self-study, including:

• computer-based exercises with instant review of model solutions
• problem-solving video tutorials
• recording system for video capture of lectures, which you can download and watch again to help with your revision
• dedicated study and social spaces, including a computing area.

Explore the Herschel Building

Â鶹´«Ã½ Business School

Â鶹´«Ã½ Business School is one of the largest Schools in the University. We have over 4,000 students from over 85 countries. This community extends beyond our current students to include:

• regional, national and international leaders
• over 37,000 alumni in our network, from 152 countries
• leading professional and academics who are experts in their field
• businesses and partners in academia 

We have two buildings – the Business School and the Frederick Douglass Centre. Both offer purpose-built facilities, including.

• computer clusters housing over 120 PCs, plus open IT spaces for laptops
• seven large lecture theatres, plus a 750-seat auditorium – the largest in the University
• 25 seminar and teaching spaces, many with flexible furniture to accommodate learning
• a dedicated Student Hub and Quiet Space, providing a mix of space for group work, individual study, or quiet study
• study pods, some with wall mounted screens, and bookable rooms for working in groups or individually
• a contemporary café, refurbished in 2025
• two dedicated hubs for employability support and events
• a Bloomberg lab with over 20 terminals, so you can experience a real trading room floor
• Experimental and Behavioural Economics Lab, a state-of-the-art research facility for conducting studies in experimental economics and economic psychology
• a flexible conference room with panoramic views across the city and St. James’ Park, which doubles up as a large flexible teaching space
  
  

Explore our Business School

Fees, Funding and Scholarships

Tuition fees for 2027 entry (per year)

Tuition fee increases

As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.

EU, other EEA and Swiss nationals - tuition fee status

Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.

EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support. You may be eligible for a scholarship worth 25% off the international fee. Search our funding database. 

Scholarships

We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our searchable postgraduate funding page for more information. 

Search for funding and scholarships

Find funding available for your course

Select your country

What you're paying for

Tuition fees include the costs of:

• matriculation
• registration
• tuition (or supervision)
• library access
• examination
• re-examination
• graduation

Find out more about:

• living costs
• tuition fees

Deposit

If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you may have to pay a deposit.

You can check this in the How to apply section.

Funding deadlines

If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.

For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.

How to apply

Open days and events

Find out about how you can visit Â鶹´«Ã½ in person and virtually

Overseas events

We regularly travel overseas to meet with students interested in studying at Â鶹´«Ã½.

Visit our events calendar for the latest events