MSc in Data Science and Analytics with Placement Year

University Of Hertfordshire

MSc in Data Science and Analytics with Placement Year

  • Country United Kingdom
  • Course Duration 24 month
  • Course Type Full Time
  • Courses Campus On Campus
  • Language Specification IELTS
  • Program Level Post-Graduate
  • Education Required Undergraduate
  • Admission intake SEP
  • Minimum GPA 3.2
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Application Charges

Application Fee Tution Fee
Free GBP 16,500

Application Date

Application Start Date Application Closing Date
2023-02-01
2023-08-16

Program Description

Professional Accreditations

This new version of the programme has been carefully designed to achieve appropriate levels of accreditation, and BCS accreditation will be sought after the award title has its first group of graduates in 2020.

About the course

The MSc in Data Science and Analytics utilises our strong international reputation for research in these areas. The expertise of our staff influences this course which explores current research and practice in data science and analytics, extending your knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling. This course is part of our Master's programme in Computer Science. 

Why choose this course?

  • You will gain industrial experience by applying the skills you have learned throughout your studies in a practical environment.
  • One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Data Science  and Analytics
  • Advanced topics studied include mathematics and programming of data science, data mining, machine learning and neural artificis, and data analytics applications.
  • Taught by a highly-regarded and long-established computer science department.
  • Computer Science saw 90% of its research ranked as world-leading (Research Excellence Framework, 2021). 

What will I study?

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Other Requirements

• Require 55-65% or above in Graduation Degree in computer science or cognate discipline. The choice of award title students may be accepted on to will be determined by the award applied for and the prior learning of the student as demonstrated by the transcript for existing qualifications held by the applicant.
• Require minimum 65%-70% or above in English in Standard XII.

Extra Notes

* NOTE : The Tuition Fee is subject to change Semester wise, as such for exact Tuition Fee kindly see the Website of the respective University.
* NOTE : Pathways : Students who want to pursue a Graduate Degree through a particular University but are unable to meet the university requirements for the GPA, GRE/GMAT or English Language scores, have to take up an additional academic and language support i.e. pathways in order to ensure the admit and study at the desired University.