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MSc Data Science

Data is the currency of all but the most theoretically-based scientific research, and it also underpins our modern world, from the flow of data across international banking networks and the spread of memes across social networks to the complex models of weather forecasting. The constant generation of data from our digital society feeds into our everyday lives, affecting how we receive healthcare to influencing our shopping habits. In order to handle, make sense of, and exploit large volumes of available data requires highly skilled human insight, analysis, and visualization.

The professionals working in this field are called ‘data scientists’, who blend advanced mathematical and statistical skills with programming, database design, machine learning, modelling, simulation and innovative data visualization. These professionals are in high demand in both the public and private sectors in the UK and worldwide. This program aims and learning outcomes are built around two guiding principles:

To provide a comprehensive understanding of the fundamental mathematical and statistical concepts underlying data science, and how they are implemented in algorithms and machine learning techniques to solve a variety of data processing and analysis problems.
To provide training in the practical skills relevant to data science, central of which is the ability to write clean and efficient code in industry-recognized languages (in particular, Python and R), but also includes data handling, manipulation, mining, and visualization techniques.

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

Application Processing Time in Days: 25

Application Process

More Information Required

10 Days

Possible Interview Call from Institution

10 Days

Provisional/Unconditional Offer

20 Days

Visa Process

15 Days

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

Upon completion of the program, you will be able to demonstrate (and apply) an understanding of a wide range of theoretical and practical skills enabling you to enter a variety of disciplines and industries. You will be able to:

Understand and be able to critically assess the various strengths and weaknesses inherent to different data science methodologies.
Design creative strategies and solutions to tackle unfamiliar data science problems and critically assess outputs and results through appropriate statistically robust validation and other performance assessment techniques.
Effectively communicate problems, methods, results, and conclusions through oral and written presentations to both expert and non-expert audiences.
Have an appreciation of both the underlying research behind data science techniques (e.g. cutting-edge algorithms and computational techniques) and their relevance and application across a broad range of disciplines.

PSW Opportunity

2 Years PSW is applicable after the course.(Bachelors & Masters only)

Admission Requirement / Eligibility Criteria

Entry requirements

For Near-STEM students, the normal entry requirements for the programme are a good (2.1 or above) Honours Degree (or equivalent) in a STEM subject (e.g. Mathematics, Engineering, Physical Sciences etc). If a student has a relevant STEM degree, then they will be considered ‘Near-STEM’. They will be offered the opportunity to participate in the Data Science Core Skills Bootcamp but will not be required to participate/attend.

For Far-STEM students, the normal entry requirements for the programme are a good (2.1 or above) Honours Degree (or equivalent). The subject of the degree is not defined, since (a) many different, disparate subjects might have a Data Science relevance (e.g. Business, Geography), and (b) some students might possess a non- STEM degree but have relevant experience (e.g. from employment). For far-STEM students who do not possess a good Honours Degree or equivalent, applications will be assessed on a case-by-case basis. Applicants may be asked to submit a short portfolio providing evidence of:

A basic level of numeracy (e.g. GCSE maths)
Experience and competency with IT / software (e.g. use of Microsoft Excel)
Experience of basic interaction with data of any form (e.g. inputting values, making calculations, examining imaging, etc.)

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

University of Hertfordshire

Hatfield , England ,United Kingdom