MSc Data Science and Analytics with Advanced Research
Postgraduate Certificate / Master's Degree
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ABOUT
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Entry requirements and key information
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).Institution code H36 School of study School of Physics, Engineering and Computer Science Course length - Full Time, 2 Years
- Full Time, 24 Months
Location - University of Hertfordshire, Hatfield
- Employability
What job can I get?
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.
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 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 modelling. This MSc can lead to a career such as a data scientist. Graduates obtaining this award will be equipped to pursue research to PhD level, or to enter specialist employment in technically advanced and unpredictable working environments requiring sound judgment and the exercise of personal responsibility and initiative.Why choose this course?
- The award gives you the opportunity to study advanced research topics in computer science, normally across multiple specialisms, and comprehensive research methods, and to undertake an extended masters project on a cutting-edge research topic.
- 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, 2022).
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 24×7, 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.- Level 7
Module Credits Compulsory/optional Data Mining 15 Credits Compulsory Neural Networks and Machine Learning 30 Credits Compulsory Foundations of Data Science 30 Credits Compulsory Applied Data Science and Analytics 15 Credits Compulsory Data Science and Analytics Masters Project 60 Credits Compulsory Team Research and Development Project 15 Credits Compulsory Legal and Ethical Practice Exercise 15 Credits Compulsory Advanced Research Topics in Computer Science 30 Credits Compulsory Research Methods 30 Credits Compulsory
Further course information
Additional information | |
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Sandwich placement or study abroad year | n/a |
Applications open to international and EU students | Yes |
Student experience
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Fees 2022
UK Students
Full time
- £9450 for 2022/2023 and 2023/2024 inclusive
EU Students
Full time
- £16500 for 2022/2023 and 2023/2024 inclusive
International Students
Full time
- £16500 for 2022/2023 and 2023/2024 inclusive
Living costs / accommodation
The University of Hertfordshire offers a great choice of student accommodation, on campus or nearby in the local area, to suit every student budget.
Deadlines
15 JanuaryFREE VISA SERVICE
One of our very suitable solutions for applicants is to provide free visa services to study in this field from a pleasant country. If you need to receive free visa services, let us know your request
Expenses (GBP)
16500
Application Fee
0
Program expenses
University & General Expenses
accommodation
After Graduation