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This MSc Data Science at NTU is a conversion-style course suited for graduates from scientific, technical or non-technical backgrounds who wish to retrain in data science. Students will learn about big data infrastructure, AI/machine learning, statistical analysis, ethics, and complete a substantial project.
Curriculum Structure:
Students study modules such as Fundamentals of Big Data and Infrastructure, Deriving Business Value from Data Analytics, Applied AI and Data Mining, and Research Methods. These modules develop understanding of how to build scalable data systems, extract insights via data mining & AI, manage analytics projects geared to business value, and conduct valid research. At the end of the taught stage, students undertake a Major Project (60 credits) where they apply learned techniques to a specialist problem of their choice, implementing methods like machine learning, data visualisation or predictive modelling.
Focus areas
“Big Data Infrastructure; Business-oriented Data Analytics; AI & Data Mining; Research Methods; Ethical Data Use; Major Applied Project”
Learning outcomes
“Gain skills to build and manage big data systems; apply AI/ML techniques to real-world problems; extract business value from data; conduct ethical, well-informed research; deliver a substantial applied project”
Professional alignment (accreditation):
The programme is designed with employer feedback, includes optional work placements, and is part of NTU’s curriculum enhancing employability; NTU is TEF “Gold” awarded.
Reputation (employability rankings):
NTU is ranked 1st in the UK for Employability (Uni Compare 2024) and in REF 2021, 80% of NTU’s Computer Science submission was assessed as world-leading or internationally excellent.
This programme is intensely practical, focusing on applying data science techniques to real-world problems using the University's advanced computing infrastructure. You will develop hands-on skills in data wrangling, machine learning, and data visualisation using industry-standard software and tools. This applied learning philosophy is delivered through:
Specialist Computing Facilities: You will have access to NTU's High-Performance Computing (HPC) resources and the Data Science Lab, which is equipped with powerful workstations for processing large datasets and running complex computational models.
Industry-Standard Software and Tools: The curriculum involves practical work with data science programming languages like Python and R, along with major machine learning libraries and platforms including TensorFlow, PyTorch, and Tableau for advanced visualisation.
Substantial Individual Project: A core component is a significant research project where you will tackle a substantial data-intensive challenge, applying the full data science lifecycle from data acquisition to insight generation and model deployment.
Practical, Project-Based Modules: Many modules are centred on coursework that involves analysing real-world datasets, and include collaborative group projects that simulate professional data science team environments.
Graduates of the MSc Data Science at Nottingham Trent University develop advanced technical expertise in big data infrastructure, artificial intelligence, statistical analysis, and data mining, preparing them for high-impact roles in analytics, research, and technology-driven businesses. Typical roles include Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Developer, with NTU alumni excelling in regional and international organizations due to the program’s rigorous hands-on approach.
NTU’s Employability Team offers dedicated career coaching, employer networking events, targeted work placements, access to the ISTeC Data Science facility, and links to employers through tailored professional development.
Nearly 100% of Data Science postgraduates achieve graduate-level employment in high-skill roles within 15 months of graduating, and starting salaries for NTU postgraduates average around £34,000, reflecting the university’s #1 ranking for employability in the UK.
The course benefits from industry collaborations and live project experience, supporting graduate employment with partners in data-driven sectors, as well as scholarships and work placement options for professional confidence.
NTU invests heavily in technology and facilities, and its industry-driven curriculum and teaching accreditation provide long-term recognition and value for graduates.
Students master applied analytics, advanced coding, critical thinking, and data-driven decision-making, helping drive innovation and efficiency across the industry.
Further Academic Progression:
After this MSc, graduates may progress to PhD research in Data Science, AI, or related fields at NTU or other leading research universities, embark on interdisciplinary academic projects, or pursue advanced certifications for specialization in analytics, business intelligence, or data management.
UK students Academic entry requirements: 2.2 honours degree or equivalent in a Computer Science or Computing related subject such as Software Engineering and Information Systems.India- , 50% (2.2) from the University of Mumbai, University of Kolkata and University of Delhi. And 55% (2.2) from other recognised universities in IndiaELTS 6.5 (with 5.5 in each component) unless otherwise stated.TOEFL: Overall score of 79 with at least 18 Reading, 17 Listening, 20 Speaking, 18 WritingUSA- GPA 2.8 for courses requiring the equivalent of a UK 2:2.Data ScientistMachine Learning EngineerData AnalystData EngineerBusiness Intelligence AnalystQuantitative Analyst
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Nottingham Trent University
