QA Northumbria University United Kingdom

BSc (Hons) Computing with Data Science and Big Data Technology

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 3 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon September 2026

Course Overview

The BSc (Hons) Computing with Data Science and Big Data Technology at QA Northumbria University is designed for aspiring professionals who want to master the techniques and technologies driving data-driven innovation. In today's world, the ability to analyse vast and complex datasets is crucial for solving business problems and creating competitive advantages. This undergraduate degree equips you with the foundational knowledge and practical skills in areas like algorithms, cloud computing, and machine learning, preparing you for a dynamic career in the ever-expanding fields of data science and big data. You will develop a strong understanding of how to extract meaningful insights from data, making you a valuable asset in any data-centric role.

This full-time, on-campus programme is studied over three years, providing a comprehensive curriculum that balances theoretical concepts with hands-on application. You will engage with core modules covering everything from programming fundamentals and database design to cyber security and technology strategy. A significant part of your learning will involve practical projects, including the opportunity for an optional UG Internship or Group Consultancy Project at the London Campus, allowing you to apply your skills in a real-world setting. Upon graduation, you will be well-prepared for diverse career paths in data analysis, big data engineering, and data science, meeting the growing market demand for these specialised skills.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program offers a comprehensive exploration of computing, with a specialized focus on data science and big data technologies. Students will build a strong foundation in core computing principles, including algorithms, programming, database design, and software engineering. The curriculum progresses to advanced topics such as cloud computing, cyber security, and data analytics, culminating in specialized modules on machine learning and big data. Practical experience is integrated through internships and group projects, preparing graduates for impactful careers in the evolving technology landscape.

1 Year One

Algorithms and programming fundamentals
Foundations of computing technology
Database design and implementation
Data communications & networks
Web design and development
Software engineering principles
Academic language skills for computing and technology

2 Year Two

Cloud computing technologies
Cyber security
Systems and processes in business context
Academic language skills
Developing digital and professional competence
Contemporary issues in computing and digital technologies
London campus UG internship
London campus UG group consultancy project
London campus UG professional practice

3 Year Three

Technology strategy and leadership for sustainability
Academic language skills for Northumbria London campus
UG project
Data science and data analytics
Big data analytics
Machine learning on cloud

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

23% off
First Year Fee Tuition fee
USD 22,373.00 USD 29,061.00
Second Year Fee Tuition fee
USD 29,061.00
Third Year Fee Tuition fee
USD 29,061.00
Total Program Cost Estimated total tuition
USD 80,497.00 USD 87,184.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 262.00 - USD 1,599.00
Food & Groceries USD 6,283.00 - USD 10,149.00
Transport USD 1,048.00 - USD 1,309.00
Utilities & Bills USD 3,496.00 - USD 6,976.00
Estimated Total USD 10,827.00 - USD 18,173.00

Living cost estimates are based on Newcastle City Campus.

Outcomes & Employability

What happens after you graduate

94%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Banking & Financial ServicesCorporate Finance & TreasuryCybersecurityFinancial Technology (Fintech)Fintech & Mobile MoneyInsurance & Risk ManagementPrivate Equity & Venture CapitalRegulatory & Government AffairsTelecom Software & SystemsWireless & Mobile Communications

Top Employers Hiring for this course

Accenture

BT Group

Deloitte UK

HSBC

Microsoft

Sage

Why Study BSc (Hons) Computing with Data Science and Big Data Technology at QA Northumbria University

What makes this program stand out

September 2026 Closing soon

Next intake is in September 2026

Fast Application response time

QA Northumbria University typically responds to applications within a week, giving you clarity on your options quickly.

Life at QA Northumbria University in United Kingdom

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about BSc (Hons) Computing with Data Science and Big Data Technology at QA Northumbria University

Can I work while studying?

International students can work up to 20 hours per week during term time while studying for a degree. Full-time work is permitted during breaks.

What English language score do I need for this course?

To enroll, you need an overall IELTS score of 6.0, with no individual score below 5.5 in listening, reading, speaking, and writing. Meeting these requirements ensures you can effectively engage with course material.

What jobs can I get after studying this course?

Job titles include Data Scientist, Data Analyst, Big Data Engineer, and Business Intelligence Developer.

What will I actually study in this course?

Overview

Data Scientists carry out applied research to create innovative data driven solutions to business problems. Usually, they work with large, complex, varied, and unstructured data sets, that are not suitable for using traditional data analysis approaches and techniques. Indeed, the demand for data scientists is ever rising and a report suggest that the shortage of data scientists has become a serious constraint (Society, 2019).

According to UK National Data Strategy

When can I start — what are the intake months?

You can start this course in January or September. Choose the intake that best fits your schedule.
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