BSc Hons Data Science

You’ll dive into real-world data science from day one — where abstract concepts become working solutions. This isn’t about just reading slides, it's about writing code, building statistical models, and designing intelligent systems in professional-standard environments. You’ll hone your technical skills using industry-relevant tools and software, guided by expert staff whose research informs your learning. And with options like a placement year or study abroad, your education extends beyond the classroom into the world.

Transitioning now into how that plays out in practice:

You’ll get hands-on exposure through:

• Software tools and platforms: Learn to work with statistical, algorithmic, and predictive tools to turn raw data into actionable insights.
  (Note: NTU doesn’t list specific software names, but emphasizes use of “industry-relevant tools” — typically including programming languages and data platforms.)

• Placement year opportunity: Choose the four-year track that includes a paid placement year, giving you direct exposure to industry environments and boosting employability.

• Study abroad programs: Broaden your perspective and apply your skills globally at partner institutions — ideal for personal growth and future CV strength.

• Project-based modules: Modules like Foundations of Computer Programming, Systems Analysis and Design, Data Analytics Techniques and Programming, and Foundations of AI and Machine Learning engage you in solving real-world problems through individual and collaborative programming and design work.

• Professional development support: In your Practical Project Management and Professional Development module, you’ll build project-management, presentation, CV-writing, and selection-assessment skills — all within a supportive learning structure.

• Placement support infrastructure: The university’s Placements Office actively helps you secure a relevant industrial placement, increasing your chances for graduate employment and potentially turning placements into job offers.

• Teaching informed by research active staff: The BSc is led by experts, including Associate Professor Dr. Isibor Kennedy Ihianle, whose work in AI, machine learning, and computational intelligence offers cutting-edge insights and project opportunities.

As a BSc (Hons) Data Science graduate from NTU, you'll emerge equipped with real-world experience and the technical know-how to excel across data-driven industries. Typical job roles include Business Analyst, Demand & Forecasting Assistant, IT Intern, and many more—all supported by the university’s strong employer links and hands-on learning opportunities:

University Services

• • NTU’s Careers and Employability team guides you through every step, offering one-to-one career coaching, CV and interview workshops, networking events, and exclusive access to part-time, placement, and graduate roles 

  • Work placements are a central feature: after your second year, you can take a sandwich (placement) year—students who do are twice as likely to secure a graduate job within six months 

• Employment Stats & Salaries

  • While specific data for Data Science is still emerging, NTU’s Computer Science graduates (a comparable field) report:

    • 88% in work and/or study 15 months after graduation

    • Average salary of around £30,000 at that time, with a typical range of £25,000–£34,000 

  • Notably, graduates who took work placements benefit significantly in employment outcomes

• University–Industry Partnerships

  • Placement opportunities involve real projects from employers like L’Oréal, IBM, and Mercedes, exposing students to roles such as Business Analyst and IT Intern 

  • The course features live briefs, guest speakers, and experiential learning—many supported through NTU’s Employability Promise, which includes collaborations with over 2,000 industry partners 

• Long-term Accreditation Value

  • NTU holds a Gold rating in the UK’s Teaching Excellence Framework (TEF), reinforcing the quality and value of your degree

• Graduation Outcomes

  • You’ll graduate with a solid grounding in computer science, statistics, machine learning, AI, and predictive analytics—alongside real-world experience gained through placements 

  • The blend of academic depth and practical exposure enhances both employability and preparedness for the data science field.