MSc Data Science (Statistics) - University of Leeds

The MSc Data Science (Statistics) from University of Leeds is a comprehensive online program combining advanced statistical theory with practical data science applications. Developed with the School of Mathematics and Leeds Institute for Data Analytics, this program prepares graduates for senior roles in healthcare, business, and government sectors.

English

Course Start Date:
March 03, 2025
Applications Deadline:
January 28, 2025
Duration:
48 Months

₹ 41,80,627

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Overview

The MSc Data Science (Statistics) program at University of Leeds offers a unique blend of advanced statistical theory and practical data science applications. This 100% online program is delivered in collaboration with the School of Mathematics and Leeds Institute for Data Analytics (LIDA), providing students with world-class expertise in statistical computing, machine learning, and data analysis.

Why Master of Science (MSc)?

This program distinguishes itself through its strong statistical emphasis, combining core data science principles with advanced statistical theory. The curriculum is designed in partnership with one of the UK's largest mathematics research departments and offers integration with the Alan Turing Institute.

What does this course have to offer?

Key Highlights

Specialized statistical focus
Real-world project integration
Flexible online learning
World-class faculty expertise
Partnership with LIDA
Industry-relevant curriculum
Comprehensive data science skills

Who is this programme for?

Graduates with quantitative degrees
Professionals in STEM fields
Data analysts seeking advancement
Statisticians transitioning to data science
Researchers needing advanced statistical skills

Minimum Eligibility

Bachelor's degree in quantitative field
Maths and statistics knowledge required
Minimum 2:1 honors degree or equivalent
English language proficiency
Access to computer and stable internet

Who is the programme for?

The program follows a structured admission process evaluating academic background and professional experience. Students complete 180 credits through 12 courses of 15 credits each. The curriculum combines core modules with specialized statistical content, delivered over 8-week blocks.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum comprises 12 courses totaling 180 credits, featuring both foundational data science and specialized statistics modules. Core areas include statistical computing, machine learning, data ethics, and advanced statistical modeling. Each course integrates theoretical concepts with practical applications.

There are 12 semesters in this course

The program delivers advanced statistical and data science education through a combination of theoretical foundations and practical applications. Core modules cover statistical computing, machine learning, and data management. Advanced topics include Bayesian statistics, linear models, and ethical considerations in data science. The curriculum emphasizes hands-on projects and real-world problem-solving through LIDA partnerships.

Exploratory Data Analysis

Statistical Methods

Programming for Data Science

Project Skills

Machine Learning

Multivariate Methods

Linear Modelling

Statistical Learning

Data Science

Statistical Computing

Bayesian Statistics

Project

Programme Length

The program typically takes 24-48 months to complete, with each course running for 8 weeks (7 weeks of instruction plus 1 week break). Students take one course at a time, allowing for flexible study alongside professional commitments.

Tuition Fee

Students need to complete 12 courses at 15 credits each, totaling 180 credits. The program follows a pay-per-course model, with total fees comparable to campus programs.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

Students engage through an advanced online learning platform combining asynchronous content with interactive elements. The program features online discussions, practical exercises, and project work. Students have access to university's digital resources and expert faculty.

University Experience

Leeds provides comprehensive online resources including digital library access, academic support services, and career guidance. Students can participate in virtual events and have the option to attend graduation ceremonies on campus.

About the University

Established in 1904, the University of Leeds is one of the largest universities in the UK and part of the prestigious Russell Group of research-intensive universities. It is renowned globally for the quality of its research and teaching, serving over 39,800 students from more than 170 countries. The university offers a wide range of undergraduate and postgraduate programs across its seven faculties, including arts, humanities, sciences, engineering, and social sciences. The University of Leeds is committed to providing an excellent student experience and has been awarded 29 National Teaching Fellowships, the highest number in UK higher education. The university's single-site campus, one of the largest in the UK, is located just a mile from the vibrant city center of Leeds, offering students a diverse and multicultural environment to live and learn.

#82

QS World University Ranking

39,800

Total Enrollment

64%

Acceptance Rate

Affiliation & Recognition

Russell Group

Career services

The University of Leeds provides comprehensive career services to support students in their professional development. These services include personalized career counseling, workshops on resume writing and interview preparation, and access to job fairs featuring top employers from various sectors. The university emphasizes experiential learning through internships that allow students to gain practical experience while studying. Leeds maintains partnerships with numerous organizations to facilitate internship placements aligned with students' career goals. Additionally, online resources are available that include job listings and career advice articles.

Course Start Date:
March 03, 2025
Applications Deadline:
January 28, 2025
Duration:
48 Months

₹ 41,80,627

Add to compare

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Kim Plowright

1,624 Students

1 Course

Creative Digital Producer and Product Manager at the University of Leeds

Kim Plowright is a creative digital producer and product manager with a notable background, having played a key role in establishing the National Film and Television School’s first digital producing course. In addition to her professional pursuits, she embraces a secret double life as an artist, showcasing her diverse creative talents.

Ammar Alsalka

4.7 rating

37 Reviews

7,218 Students

1 Course

Expert in Computing and NLP

Dr. Mohammad Ammar Alsalka is a Lecturer in Computing at the University of Leeds, specializing in compilers, programming languages, natural language processing (NLP), and software engineering. He serves as the MSc Projects Coordinator and teaches courses such as Compiler Design and Construction and Web Services and Web Data. His research focuses on NLP and related areas, and he is actively involved in various research projects. Dr. Alsalka is a member of professional organizations like FHEA, ACM, and IEEE. He is based at the School of Computing (Room 2.38) and can be contacted via email or phone.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

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