Data Science MSc

1 Years On Campus Masters Program

Coventry University London

Program Overview

The MSc in Data Science provides advanced training in programming, analytics, machine learning and big-data technologies, preparing students to work confidently with complex datasets and build data-driven solutions. It suits students from computing, mathematics or quantitative backgrounds who want careers in data science, analytics, AI or research.

Curriculum Structure (Full-time, 1 Year)

Year of Study

Students begin with Programming for Data Science, where they develop strong coding, data-handling and computational skills needed for analytical work. They continue with Data Analytics, gaining statistical and analytical techniques to clean, explore and interpret datasets for real-world decision-making. In Machine Learning and Big Data, they study predictive modelling, clustering, classification and large-scale data processing methods used in modern AI systems. The module The Data Science Professional introduces industry workflows, ethics, project management and applied problem-solving. The year concludes with a major Data Science Project, allowing students to apply machine learning, analytics and programming techniques to a substantial research or industry-based challenge.

Focus areas: “Programming for data science, data analytics, machine learning, big-data techniques, professional data-science practice”

Learning outcomes: “Build strong programming skills; analyse and interpret complex data; apply machine-learning and big-data methods; understand professional and ethical practice; complete an independent data-science project.”

Professional alignment (accreditation): Designed to meet industry expectations for skilled data-science professionals; awarded at postgraduate (Master’s) level.

Reputation (employability rankings): The university has strong ratings for teaching and graduate employability, and the programme aligns with high industry demand for data scientists and analysts across sectors.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Data Science at Coventry University provides hands-on skills in managing, analysing, and extracting insights from large, complex datasets. Students work with industry-standard software on high-performance computing infrastructure to solve real-world analytical problems.

Key experiential components:

Software & Tools: Data analysis and modelling using Python (Pandas, Scikit-learn, TensorFlow/PyTorch), R, SQL, and big data platforms like Apache Spark and Hadoop.
Computing Facilities: Access to Coventry's High-Performance Computing (HPC) centre and Data Science Lab, equipped with powerful workstations and GPU clusters for intensive computation.
Group Projects: A core collaborative data science project where student teams tackle a substantial analytics challenge, following the full lifecycle from data acquisition to visualisation and insight presentation.
Industry & Research Links: Curriculum informed by the Centre for Computational Science and Mathematical Modelling and industry partnerships, with dissertation projects often based on real-world business or research problems.

Progression & Future Opportunities

Graduates of the MSc Data Science at Coventry University secure roles as data scientists, data analysts, machine learning engineers, and business intelligence analysts across technology, business, and government sectors.

University's careers service provides placements, CV checks, skills workshops, and employer events for employability.
Graduates enter data roles with UK salaries around £30,000–£45,000 in firms needing analytics and AI skills.
Industry tools training in databases, machine learning, and big data supports practical partnerships.
Course emphasizes ethical data practices for long-term professional value.
Outcomes focus on data visualization, modelling, and problem-solving expertise.

Further Academic Progression: Graduates can pursue PhDs in data science or computational intelligence, building on research projects and advanced analytics skills.

Additional Information & Requirements

An honours degree 2:2 or above (or international equivalent) in any discipline.

India- Students who have passed 3 years BA with an overall score of 60%. Students who have passed the 4 years BE/Btech with 55% overall or higher.

USA- Students who have completed a 4 year Bachelor’s degree with a GPA of 2.6 out of 4.

China- Students who successfully completed 5 year College Diploma/Undergraduate Graduation Certificate of Adult/Self-Taught Education with overall grade of 75%, plus minimum 3 years of relevant work experience is required.

IELTS: 6.5 overall, with no component lower than 5.5.

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