MSc Data Analytics

1 Year On Campus Masters Program

De Montfort University

Program Overview

The MSc in Data Analytics prepares students to work with large datasets, business-intelligence systems and analytical models to support data-driven organisational decisions. It suits students from computing, maths or business backgrounds who want careers in analytics, BI or predictive modelling.

Curriculum Structure (Full-time, 1 Year)

Year of Study

Students begin with Data Analytics Infrastructure, learning how BI systems, data warehouses and organisational data strategies are designed and implemented. They continue with Big Data Applications, developing skills in handling large datasets, using big-data tools and applying machine-learning methods for real-time analysis. In the next stage, Data Mining Techniques and Methods teaches pattern recognition, predictive modelling and statistical analysis for solving real-world problems. The year finishes with Project Proposal, Planning and Project Management followed by the PGT Project, where students complete an independent analytics project that integrates all learned techniques.

Focus areas: “Business intelligence, big-data tools, data mining, predictive analytics, research and project work”

Learning outcomes: “Design BI systems; analyse large datasets; apply data-mining and ML methods; conduct structured research; complete a major data-analytics project.”

Professional alignment (accreditation): Master’s-level training aligned with industry demand for analytics and BI professionals.

Reputation (employability rankings): The university has a strong track record in computing and analytics education, with graduates entering roles in BI, data analysis and data-driven decision-making across sectors.

Experiential Learning (Research, Projects, Internships etc.)

This programme focuses on applying advanced computing principles through practical project work in the University's specialist facilities. You'll develop professional skills using industry-standard tools and high-performance computing resources, working on real-world computing challenges. This hands-on approach is delivered through:

Specialist Computing Facilities: Access to BU's High-Performance Computing (HPC) cluster and dedicated computing labs with professional-grade workstations for software development and research.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C++, plus development environments like Visual Studio and database management systems.
Substantial Individual Project: A major research project where you apply advanced computing techniques to solve a substantial real-world problem.
Professional Collaboration: Opportunities to work on projects with industry partners and BU's research centres, including the Data Science and AI Research Centre.

Progression & Future Opportunities

Graduates of De Montfort University's Data Analytics MSc secure roles as data analysts, business intelligence specialists, data scientists, and big data architects in finance, tech, and logistics firms like Bosch and CEVA Logistics:

DMU Careers Team offers CV clinics, mock interviews, job fairs, and optional paid placements.
High employability; starting salaries ~£30,000–£50,000 UK.
SAS partnerships and placements at Baker Hughes provide real-world skills.
SAS training supports certifications for career growth.
Strong outcomes in industry or research roles.

Further Academic Progression: Pursue PhDs in data science or analytics at DMU/other institutions, leveraging project research and advanced modules.

Additional Information & Requirements

Entry criteria You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject.

India- A bachelor's degree with 50%-60%,

USA- A bachelor’s degree with GPA 2.8

IELTS score of 6.0 overall with 5.5 in each band (or equivalent)

China- 65% and all Pass (60%) overall for PG programs

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