Program Overview

Overview of the Data Analytics MSc (Distance Learning) Program

The Data Analytics MSc (Distance Learning) program at the University of Huddersfield is designed for individuals who are not local to the campus or are in employment. This course provides students with the learning experience necessary for a satisfying career in data science, with an option for distance learning. The program meets the demand for experts with advanced skills and knowledge in statistics, data mining techniques, big data, and complex data visualization.

Key Features of the Program

• The program is fully accredited by the British Computer Society (BCS), the Chartered Institute for IT.
• By completing this course, students will have partially fulfilled the academic requirements for registration as a Chartered IT Professional and Chartered Engineer.
• The course is aligned with SAS, providing students with the opportunity to follow SAS training and apply for SAS Certification.
• Students will have access to relevant job opportunities through portals like Handshake UK.

Entry Requirements

• A BSc, BEng, or BA Honours degree (2:2 or above) or equivalent professional qualification in any subject.
• Applicants with other appropriate professional qualifications and/or experience will be considered on an individual basis.
• If the first language is not English, students will need to meet the minimum requirements of an English Language qualification, such as IELTS with an overall score of 6.0 and no element lower than 5.5.

Start Dates and Duration

• Start dates: 22 September 2025, 17 November 2025, 16 February 2026, 18 May 2026.
• Duration: 2-3 years part-time.

Course Detail

Modules

The program includes a range of modules designed to provide students with a comprehensive understanding of data analytics. These modules include:

• Effective Research and Professional Practice
• Data Analysis and Statistics
• Data Mining
• Big Data Analytics
• Machine Learning
• Case Studies in Data Analytics and Artificial Intelligence
• Data Visualization
• Databases for Large Data-sets
• Individual Project

Teaching and Assessment

• The course follows a flipped learning approach with recorded lecture content and asynchronous learning activities.
• A variety of assessment strategies are used, including coursework, quizzes, presentations, and demonstrations.
• The assessments are flexible, allowing students to investigate appropriate topics in their own way.

Technology and System Requirements

• Students must have access to a personal computer, internet connection, microphone, and webcam to participate in the course.
• The course can be accessed using the latest versions of Google Chrome, Mozilla Firefox, Apple Safari, or Microsoft Edge.
• Minimum specifications for personal computers and webcams are provided to ensure compatibility.

Career Opportunities

• The program prepares students for careers in data analytics, with job titles including Data Analyst, Data Scientist, Machine Learning Engineer, Big Data Architect, and Business Intelligence Developer.
• Graduates will have the skills and knowledge to work in a variety of industries, applying data analytics to improve business performance.

Fees and Finance

• The total fee for UK and international students on this course is £9,900 for the academic year 2025/26.
• Tuition fees will cover the cost of study at the University, but do not include the cost of IT equipment and internet access, which are the student's sole responsibility.

Conclusion

The Data Analytics MSc (Distance Learning) program at the University of Huddersfield offers students a comprehensive education in data analytics, with a focus on practical skills and theoretical knowledge. With its flexible delivery and accreditation by the British Computer Society, this program is an excellent choice for individuals looking to advance their careers in data science.