Northumbria University Newcastle - Data Science BSc (Hons)

Northumbria University Newcastle

Data Science BSc (Hons)

You can be at the forefront of the next big advance in computing with our BSc (Hons) Data Science course. 

From e-commerce to healthcare and finance, data scientists make sense of vast quantities of information, pioneering new products and life-saving drugs, and helping organisations to work smarter.

Data science will transform the next decade - changing businesses, the economy, and how we live our lives. It will continue to be one of the most in-demand career paths for trained professionals. And you can be part of it at Northumbria University, Newcastle.

Entry Requirements

Standard Entry

120 UCAS Tariff points

From a combination of acceptable Level 3 qualifications which may include: A-level, T Level, BTEC Diplomas/Extended Diplomas, Scottish and Irish Highers, Access to HE Diplomas, or the International Baccalaureate.

Subject Requirements:

There are no specific subject requirements for this course.

GCSE Requirements:

Applicants will need Maths and English Language at minimum grade 4/C, or an equivalent.

Additional Requirements:

There are no additional requirements for this course.

English Language Requirements:

International applicants should have a minimum overall IELTS (Academic) score of 6.0 with 5.5 in each component (or an approved equivalent*).

Career Prospects

As a graduate in Data Science, you’re going to be in high demand. As more and more businesses need to adapt to technological advances, the demand for data science skills increases. Your future career options include: Data Analyst, Data Architect, Data Scientist, Information Officer/CIO, Business Intelligence Analyst, Big Data Solutions Architect, Database Manager, Data Modeller, and more.

Studying Data Science at Northumbria doesn’t limit you to only Data Science roles, however. With the skills and knowledge gained through Computer Science modules, you may also be qualified for a wider range of careers. For example: programmer, software developer, web developer, UX professional, researcher, and more.

Course Details

In your first year, you will study computer science essentials like computational thinking, programming and computing fundamentals. You will also get introduced to data and AI.

Thanks to some shared modules, you’ll get to know other students on our computer science degrees and make connections between the different topics we teach.

In second and final year, you become a specialist, focusing almost entirely on data science. You will study data mining, algorithms and data structures, and data visualisation, and have the chance to spend up to half your time on a consultancy project in based on real-world contexts, getting real-life experience. Your final year makes you an expert, ready for the world of work. You study data security and governance, Big Data, and complete a group computing project with fellow students. You also complete your dissertation. This is your chance to impress employers by designing, building and evaluating your own data science product.

Year One

AI Fundamentals (Core,20 Credits)
Computational Thinking (Core,20 Credits)
Computers & Society (Core,20 Credits)
Computing Fundamentals (Core,20 Credits)
Data Fundamentals (Core,20 Credits)
Programming (Core,20 Credits)

Year Two

Algorithms and Data Structures (Core,20 Credits)
Software Architecture (Optional,20 Credits)
Computer Vision (Optional,20 Credits)
Computing Consultancy Project (Optional,20 Credits)
Data Mining (Core,20 Credits)
Data Visualization (Optional,20 Credits)
Digital Forensics Incident Response (Optional,20 Credits)
Human-Centered AI (Core,20 Credits)
IT Service Management (Optional,20 Credits)
Mobile & Web App Development (Optional,20 Credits)
Virtual and Augmented Reality (Optional,20 Credits)
Contemporary Issues in Computing and Digital Technologies (Optional,20 Credits)
Developing Digital and Professional Competence (Optional,20 Credits)
London Campus UG Internship (Optional,20 Credits)
London Campus Undergraduate Professional Practice (Optional,20 Credits)
London Campus UG Group Consultancy Project (Optional,20

Year Three

Year in International Business (This is made up of modules studied in Newcastle (Semester 1) & Amsterdam (Semester 2) (Optional,120 Credits)
Year in International Multidisciplinary Innovation (4 modules studied in Amsterdam (Semester 1) & Newcastle (Semester 2) (Optional,120 Credits)
Work placement year (Optional,120 Credits)
Study abroad year (Optional,120 Credits)

Year Four

Big Data (Core,20 Credits)
Business Intelligence (Optional,20 Credits)
Computing Project (40 Credits)
Computing Group Project (Core,20 Credits)
Data Analytics (Optional,20 Credits)
Data Security and Governance (Core,20 Credits)
Evolutionary Computation (Optional,20 Credits)

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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