Data Analytics MSc - University of Huddersfield
This MSc in Data Analytics provides comprehensive training in statistical methods, data mining, big data management, and advanced visualization techniques. The British Computer Society-accredited program emphasizes practical applications and research skills.
English
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Course Start Date:
Starting soon
Application Deadline:
To be announced
Duration:
2-3 Years
₹ 11,83,050
Overview
The MSc in Data Analytics is a comprehensive program accredited by the British Computer Society. This flexible online degree combines theoretical foundations with practical applications in data science, preparing professionals for the growing demands of the industry.
Why MSc (Master of Science)?
This program offers distinct advantages including BCS accreditation, SAS alignment, and a flexible part-time format. The curriculum covers advanced topics in data mining, machine learning, and big data analytics, providing students with industry-relevant skills.
What does this course have to offer?
Key Highlights
BCS accreditation
SAS-aligned curriculum
Flexible online learning
Comprehensive data science coverage
Industry-relevant skills development
Research-focused approach
Who is this programme for?
Data scientists and analysts
IT professionals
Business analysts
Research professionals
Professionals seeking data expertise
Minimum Eligibility
Bachelor's degree (2:2 or above) in any subject
IELTS 6.0 (min 5.5 in each component)
Relevant professional experience considered
Who is the programme for?
The program requires a bachelor's degree (2:2 or above) in any subject. Professional qualifications and experience are considered. English language proficiency (IELTS 6.0) is required for non-native speakers.
Important Information
Selection process
How to apply?
Programme Length
The program offers flexible completion options between 2-3 years part-time, allowing students to balance their studies with professional commitments.
Tuition Fee
The MSc Data Analytics at the University of Huddersfield is a BCS-accredited, fully online program offered part-time over 2 to 3 years, designed for graduates with a 2:2 or above in any subject and requiring English proficiency (IELTS 6.0). The current total tuition fee for this MSc program is £9,900 is approximately ₹1,183,050 for the full duration, covering all course materials, access to digital resources, research databases, and academic support. The program emphasizes practical applications in data mining, machine learning, big data analytics, and data visualization. Prospective students can contact the university for detailed information about payment options and plans.
Fee Structure
Payment options
Learning Experience
Students experience interactive online learning through a combination of theoretical study and practical applications. The program includes research projects, data analysis exercises, and advanced visualization training.
University Experience
The University of Huddersfield provides comprehensive online support including access to digital resources, research databases, and academic guidance. Students benefit from industry-standard software and tools.
Testimonials
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About the University
Founded in the 19th century and gaining university status in 1992, the University of Huddersfield is a public research university located in West Yorkshire, England. Known for teaching excellence, it won the inaugural Higher Education Academy Global Teaching Excellence Award in 2017 and achieved Teaching Excellence Framework Gold Awards in 2017 and 2023
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Affiliation & Recognition
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Career services
The university provides comprehensive career development through specialized career advisers, industry partnerships, and placement opportunities. Services include one-to-one guidance, CV checking, interview techniques, and extensive employer connections
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placement years
Course Start Date:
Starting soon
Application Deadline:
To be announced
Duration:
2-3 Years
₹ 11,83,050
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.