MSc Data Science and Analytics with Sandwich Placement Year
The MSc in Data Science and Analytics utilizes 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 modeling.
This course is part of our Master's program in Computer Science.
Work placement
The course offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full-time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.
We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive career guidance from our very experienced dedicated Careers and Placements Service.
Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organize special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.
Campus Information
College Lane Campus
The main site of the university remains the College Lane campus, which houses the original Hatfield Technical College building. Notable among the buildings in this campus is the university's Learning Resource Centre, a combined library and computer centre. There is also a substantial collection of halls of residence and student houses, and the University of Hertfordshire Students' Union is headquartered at College Lane campus. The College Lane campus is also the location of Hertfordshire International College, which is part of the Navitas group, providing a direct pathway for international students to the University.
Intakes
- Sep
- Jan Deadline: Oct
Application Processing Time in Days: 25
Application Process
Minimum English Language Requirements
English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
---|---|---|---|---|---|
Expert | 9 | 120 | 297-300 | 86-90 | |
Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
Very Good | 8 | 110-114 | 270-280 | 79-83 | |
Good | 7.5 | 102-109 | 253-267 | 73-79 | |
Good | 7 | 94-101 | 240-253 | 65-73 | |
Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
Competent | 6 | 60-78 | 170-210 | 50-58 | |
Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
Modest | 5 | 35-45 | 107-133 | 36-43 | |
Limited | 4 | 32-34 | 97-103 | 30-36 | |
Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Some courses offered at Hertfordshire has an additional internship year that helps the student to take up live projects and gain hands-on experience to become employable after graduation.
PSW Opportunity
- 2 years of PSW for 2021 graduates
Admission Requirement / Eligibility Criteria
For admission to MSc Data Science and Analytics, the normal requirement is a good Honours Degree (or equivalent) in computer science or a 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.
Applicants whose first language is not English must demonstrate sufficient competence in English to benefit from the Programme. This is normally demonstrated by recognised awards equivalent to an overall IELTS score of 6.0. Candidates who do not satisfy these requirements will be considered on a case-by-case basis.
The programme is subject to the University's Principles, Policies and Regulations for the Admission of Students to Undergraduate and Taught Postgraduate Programmes (in UPR SA03), along with associated procedures. These will take account of University policy and guidelines for assessing accredited prior certificated learning (APCL) and accredited prior experiential learning (APEL).
- Course Code: H36
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
-
Total Tuition Fee:
29000 GBP
Annual Cost of Living: 9207 GBP
Application Fee: N/A
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