Msc Data Analytics

at University of Huddersfield

• Develop essential skills in data science, including data manipulation, statistical analysis, and data visualization techniques using industry-standard tools and platforms.
• Engage in practical, hands-on learning opportunities that simulate real-world data analytics scenarios, preparing you for professional roles in data-driven industries. 
• Benefit from SAS Institute's certification-aligned training embedded in the course curriculum.
• This prepares you to pursue SAS Certification, enhancing your credentials with SAS Digital Badges recognized by employers.

Modules

•  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 Visualisation
•  Databases for Large Data-sets
•  Individual Project

Important Dates

Prospective applicants are advised to start their application process well ahead of the September intake for the programme. It is recommended to begin preparations approximately one year before the start date to allow ample time to meet additional requirements, such as demonstrating English proficiency through exams like IELTS or TOEFL.

• 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.

The Msc Data Analytics fees are £18,700/yr. Prospective students should carefully review the university's website for detailed information on tuition fees. It's also advisable to actively seek out and apply for various financial assistance opportunities, including scholarships and student loans. Utilizing these resources can greatly help mitigate the financial challenges that come with pursuing higher education.

This MSc program equips you with the analytical skills, practical experience, and industry-relevant certifications to succeed in these dynamic and high-demand roles. Whether you aim to advance your current career or transition into the field of data analytics, the comprehensive curriculum prepares you for diverse opportunities in today's data-driven economy.