MSc Data Science and Analytics with Advanced Research
The School has a strong international reputation for research in this area and this expertise 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 MSc can lead to a career such as a data scientist.
Graduates obtaining this award will be equipped to pursue research to Ph.D. level or to enter specialist employment in technically advanced and unpredictable working environments requiring sound judgment and the exercise of personal responsibility and initiative.
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
- Oct Deadline: Oct
- 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
Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.
The MSc Data Science and Analytics with Advanced Research course will equip students with the knowledge and practical skills in data science and analytics from the foundations of data science in mathematics and programming, data mining, machine learning, to data analytics applications.
Successful graduates may pursue a career as a data scientist or data engineer, data analytics consultant, digital marketing manager across a wide range of sectors.
PSW Opportunity
2 Years PSW is applicable after the course.(Bachelors & Masters only)
Admission Requirement / Eligibility Criteria
Entry requirements
For admission to MSc Data Science and Analytics with Advanced Research, the normal requirement is a good Honours Degree (or equivalent) 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.
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).
Postgraduate taught
- Completion of a Bachelor degree in a relevant subject area with 55-65% or above depending on course
- IELTS 6.0 or 6.5 (depends on course) with no less than 5.5 in any band - some courses require higher
- Standard XII English with 70% will also be accepted
- 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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