The Bachelor of Science in Computer Science (Data Science) programme at Euro University of Bahrain (EUB) is delivered in collaboration with Goldsmiths, University of London, awarding you a globally respected UK degree through high-quality, hands-on teaching at EUB’s City Campus in the heart of Manama.
This programme is designed to equip you with essential data science skills through a project-based learning approach that emphasises real-world applications. You will master programming, data analysis, artificial intelligence and machine learning in a dedicated computer laboratory, gaining hands-on experience with industry-standard tools like Python and R.
At EUB, you will be part of a supportive learning community, guided by experienced international computing tutors who will help you build a professional portfolio and prepare for data-focused careers such as data scientist, data visualisation engineer and business data analyst. You will also benefit from valuable industry internships, remote work opportunities and strategic partnerships with leading companies—enhancing your employability and global career readiness.
| Code | Module | Credits | Term |
|---|---|---|---|
| FP0001 | Mathematics and Statistics | 15 | Full year (Autumn and Spring terms) |
| FP0002 | Economics | 15 | Full year (Autumn and Spring terms) |
| FP0009 | Law | 15 | Full year (Autumn and Spring terms) |
| FP0010 | Business and Management | 15 | Full year (Autumn and Spring terms) |
| AR0001 | Arabic Language | 10 | Spring |
| HIS0001 | Bahrain History | 10 | Autumn |
| HR0003 | Human rights | 10 | Autumn |
| ENG101 | Academic English 1 | 15 | Autumn |
| ENG102 | Academic English 2 | 15 | Spring |
| Code | Module | Credits | Term |
|---|---|---|---|
| CM1005 | Introduction to programming I | 15 | Autumn |
| CM1010 | Introduction to programming II | 15 | Spring |
| CM1015 | Computational mathematics | 15 | Spring |
| CM1020 | Discrete mathematics | 15 | Autumn |
| CM1025 | Fundamentals of computer science | 15 | Autumn |
| CM1030 | How computers work | 15 | Autumn |
| CM1035 | Algorithms and data structures I | 15 | Spring |
| CM1040 | Web development | 15 | Spring |
| Code | Module | Credits | Term |
|---|---|---|---|
| CM2005 | Object oriented programming | 15 | Autumn |
| CM2010 | Software design and development | 15 | Autumn |
| CM2015 | Programming with data | 15 | Spring |
| CM2045 | Professional Practice for Computer Scientists | 15 | Spring |
| CM2025 | Cyber Security | 15 | Spring |
| CM2030 | Graphics programming | 15 | Spring |
| CM2035 | Algorithms and data structures II | 15 | Autumn |
| CM2040 | Databases, networks and the web | 15 | Autumn |
Core Modules
| Code | Module | Credits | Term |
|---|---|---|---|
| CM3005 | Data science | 15 | Autumn |
| CM3010 | Databases and advanced data techniques | 15 | Autumn |
| CM3015 | Machine learning and neural networks | 15 | Autumn |
| CM3035 | Advanced web development | 15 | Spring |
| CM3060 | Natural language processing | 15 | Spring |
| CM3070 | Final project | 30 | Spring |
Electives (one module)
| Code | Module | Credits | Term |
|---|---|---|---|
| CM3020 | Artificial intelligence | 15 | Autumn |
| CM3025 | Virtual reality | 15 | Autumn |
| CM3050 | Mobile development | 15 | Autumn |
| CM3045 | 3D graphics and animation | 15 | Autumn |
IFP: The duration of study is 4 years with a foundation year.
Direct Entry: The duration is 3 years for students who have completed A Levels or the InternationalBaccalaureate (IB).
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EUB has a range of fees charged based on the services requested, including application, registration, and tuition. Flexible payment plans are available. For full details, please visit our Fees page.
We also offer a range of scholarships and incentives to support students:
* Elite Scholarship (up to 100%) – Merit-based award for outstanding academic achievement and potential
* Academic Distinction Scholarship (25%) – For strong academic performance
* Athlete Scholarship (15%) – For students with recognised sporting achievements
* E-Sports Scholarship (15%) – For competitive gaming participation
Incentives:
*Early Admission – 50% (application & registration fees)
* Sibling – 15% (tuition fees)
* Full Payment – 5% (tuition fees)
Students may be eligible for multiple awards, subject to applicable terms and conditions. Click here for more information about Scholarships, Bursaries and Incentives.
Admission to the programme requires a minimum average of 75% in the General Secondary Education Certificate (Years 10-12) or equivalent. Applicants must also demonstrate English language proficiency through an APTIS score of at least 140, IELTS (5.5), Duolingo (95), TOEFL (75), or Oxford (111).
For a comprehensive understanding of all entry requirements and to ensure you have all the necessary information for your application, visit our General Entry Requirements page.
The BSc in Computer Science (Data Science) programme at EUB stands out because it’s part of the globally recognised University of London degree, academically directed by Goldsmiths. The programme is designed to equip you with the essential skills for the rapidly evolving field of data science, focusing on artificial intelligence, data analytics, and machine learning. You’ll benefit from a hands-on, project-based approach that allows you to develop practical skills and build a professional portfolio. The curriculum is taught in a dedicated computer laboratory, emphasising real-world applications and vocational training to ensure you’re well-prepared for the demands of the data science industry.
The BSc in Computer Science (Data Science) programme at EUB stands out because of its prestigious University of London affiliation, with academic direction from Goldsmiths, a globally recognised institution. The programme’s specialised focus on Data Science, including artificial intelligence, data analytics, and machine learning, sets it apart from broader computing degrees in Bahrain. You’ll benefit from practical, project-based learning, allowing you to develop software and build a professional portfolio. The programme is delivered in English, providing an international perspective and enhancing your global employability. Additionally, the curriculum aligns with industry needs, ensuring you’re well-prepared for the growing data science sector.
As a graduate of the BSc Computer Science (Data Science) programme, you can pursue several data-focused career paths, such as data scientist, data visualisation engineer, business data analyst, data manager, and data engineer. These roles require expertise in artificial intelligence, data analytics, and machine learning—key areas covered in the programme. You could also explore roles like application programmer or software engineer, where you’ll create data-driven applications and systems. These career paths are in high demand as industries continue to seek skilled data science professionals.
Yes, as a student in the Data Science specialism of the Computer Science programme you’ll have access to a wide range of internship and work placement opportunities. EUB is committed to providing you with real-world data science experience through partnerships with both local and international employers. You can participate in summer placements, remote internships, and data science-focused industry projects that enhance your practical knowledge and technical skills. Our Strategic Plan supports placements with leading companies, offering exposure to both local and global data science practices. The university will assist you in securing these opportunities, helping you connect with employers and apply the skills you’ve learned in real-world data science environments, boosting your career readiness and employability.
The Data Science specialism of the Computer Science programme offers you extensive practical experience through project-based learning, where you’ll develop your own software and apply your programming, mathematical, and computing skills to real-world data science challenges. In addition to individual and group projects, you’ll undertake a substantial final project, allowing you to create a significant data science solution. EUB’s focus on employability is reflected in industry placements with local and international companies, giving you hands-on experience in real-world data science environments. The programme also includes mentorship, workshops, and remote work opportunities, ensuring you develop the practical skills and experience necessary to thrive in the data science field.
In the Computer Science (Data Science) programme you’ll primarily use Coursera as your learning platform, which offers interactive learning experiences and access to a Virtual Learning Environment (VLE). Through the VLE, you’ll have access to study materials, resources, and forums to collaborate with peers. The programme is designed to give you hands-on experience with industry-standard tools used in data science, including programming languages like Python and R, which are essential for data manipulation, analysis, visualisation, and machine learning. You may also use various libraries and frameworks related to these fields. For coding and software development tasks, you’ll work with a programmer’s text editor like Atom and integrated development environments (IDEs). Additionally, you’ll have access to the University of London’s Online Library, which provides a wealth of research resources, journals, and databases.
Yes, the Computer Science (Data Science) Programme offers you the benefit of strong industry partnerships and collaborations. Our Strategic Plan focuses on industry engagement, ensuring you gain real-world skills and vocational work experience. From the very start of the programme you will have access to opportunities for internships, industry projects, and mentorships, both locally and internationally.
Every stage of our admissions process is aimed at identifying the aspects of your academic trajectory and personal ambitions
We look forward to having you continue your journey with us.
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