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University of Hertfordshire

Hatfield , England ,United Kingdom

MSc Artificial Intelligence and Robotics

The School has a strong international reputation for research in Artificial Intelligence and Robotics and this expertise influences this course which explores current research and practice in artificial intelligence and robotics. This MSc can lead to a career such as a designer of intelligent systems or in research.

This course is part of our Master's program in Computer Science. 

Work placement

This MSc is available with an optional one-year industry placement. 

This 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.

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

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

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 Artificial Intelligence and Robotics course will equip students with the knowledge and practical skills that are needed to contribute to the design and implementation of working systems in intelligent computing and prepare students to take up a challenging job or to pursue further research in specific AI fields.

Successful graduates may pursue a career as a research scientist or designer for intelligent systems such as machine learning engineer, business intelligence developer, or R&D engineer.

PSW Opportunity

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

Admission Requirement / Eligibility Criteria

Entry requirements

For admission to MSc Artificial Intelligence and Robotics, 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).

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