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Course Fees and Duration

Course Duration:
(36 m) 3 years
Course Tuition Fees:
USD 8,045
Course Miscellanous Fees:

Placing

Area:
Not provided
Location of Study:
Selangor
Full Time/Part Time:
Full Time
Awarding University:
The University of Nottingham

Computer Science with Artificial Intelligence BSc (Hons)

  Institution: The University of Nottingham

Field Of Study:
Business Administration & Management
Level Of Study:
Undergraduate
Course Subject:
Artificial Intelligence, Computer Science
Course Intake:
September

Programme Description

Our computer science with artificial intelligence course is designed to develop both your general understanding of computer science and more specialist skills and knowledge in artificial intelligence (AI).

In addition to fundamental computer science classes and laboratories, the course covers topics including expert systems, intelligent agents, the history and philosophy of artificial intelligence, machine learning, computer vision, neural networks, heuristic optimisation and other intelligent systems. By following this programme you will learn how to develop new methodologies and novel computational techniques for the creation of human-like intelligence.

This course consists of spending your final year in the UK where you will study advanced AI techniques with specialist staff. For the first two years of this three-year degree you will be taught at the Malaysia Campus. You will then transfer to The University of Nottingham in the UK for the final year of your studies where you will be able to take a variety of specialist courses that are supported by the world-leading research that is undertaken within the school.

Professional accreditation

Our BSc in Computer Science with Artificial Intelligence is accredited by the British Computer Society (BCS). This is an external recognition of the excellence of our teaching, and it is also a recognition that the skills that you learn while studying the degree are of relevance to industry. Graduates from this degree may join the BCS, and with typically five years of industry experience, graduates may achieve UK chartered engineer (CEng) status.

Entry Requirements

Our Foundation course route

Our Foundation courses give you another way to study for an undergraduate degree.

Entry requirements

A level

BCC, including a science subject (mathematics, computing, physics, chemistry, economics or statistics) If you don’t have any of these listed science subjects we then require a grade B in GSCE mathematics

IB Diploma

26 points, including 5 points in mathematics (SL)

STPM

B+BB, including mathematics, excluding Pengajian Am

UEC

4 As, including mathematics and grade B in 2 other academic subjects, excluding Chinese language

SAM/AUSMAT/HSC

ATAR (UAI)/TER/ENTER 78

Canadian Pre-U

75% average based on 6 subjects including mathematics

Foundation

Successful completion of the Foundation in Science programme including all computer science modules

Other equivalent qualifications will be considered on a case-by-case basis

English language requirements

IELTS:

6.0 (with no elements below 5.5)

TOEFL (iBT):

79 (with no elements below 19)

PTE (Academic):

62 (minimum 55)

SPM:

grade B+

1119 (GCE O):

grade C

GCSE/IGCSE:

grade C

UEC:

grade B3

IB English A1 or A2 (SL or HL):

4 points

IB English B HL:

4 points

IB English B SL:

5 points

IELTS and TOEFL test results must be less than 2 years old and all IELTS must be the academic version of the test

Foundation

The Foundation in Science is a 1+3 year programme that results in direct progression to the undergraduate degrees offered within the Faculty of Science. This rigorous programme provides students with a strong academic background that will result in enhanced language, mathematics, critical thinking and study skills.

Students on this programme also chose from a range of elective modules that provide the opportunity to sample topics related to their chosen undergraduate pathway such as chemistry, ecology, computer programming or psychology.

Modules

Year 1

Compulsory modules

  • Computer Systems Architecture
  • Mathematics for Computer Science
  • Introduction to Requirements Engineering
  • Introduction to Programming
  • Algorithmic Problem Solving
  • Introduction to Functional Programming
  • Database Systems
  • Introduction to Software Engineering
  • Introduction to Object-oriented Programming
  • Introduction to Artificial Intelligence

Optional modules

  • Unix and Software Tools
  • Engineering Mathematics 1
  • Web Programming and Scripting
  • People and Organisations

Year 2

Compulsory modules

  • Software Engineering and Methodologies
  • Algorithms and Data Structure
  • Planning and Search
  • Application Programming
  • AI Programming Techniques
  • Concepts of Currency

Optional modules

  • Graphical User Interfaces
  • Introduction to Image Processing
  • Introduction to Formal Reasoning
  • Machines and their Languages
  • C++ Programming
  • Human Computer Interaction
  • Computer Communications and Networks
  • Engineering Mathematics 1

Year 3

You will complete your third year at The University of Nottingham in the UK.

Typical modules include:

  • Knowledge Representation and Reasoning
  • Machine Learning
  • Designing Intelligent Agents
  • Individual Dissertation

Career Opportunities

While many computer science graduates do become programmers, others are employed in a wide variety of jobs. These include computer analysts, IT consultants and planners, network/systems designers and engineers, researchers, software designers and engineers, web designers, web developers and producers as well as roles across advertising and marketing, business and financial analysis, accountancy and investment/merchant banking and legal and quality assurance professions. Some of our graduates have gone on to work for traditional computer companies such as Adobe, Google, Hewlett-Packard, IBM and Microsoft. Others have found jobs with employers such as Accenture, Experian, and Ocado.

New computer science graduates frequently command some of the highest-paid entry-level positions compared to graduates in other disciplines. Many of our graduates continue to further studies in subjects such as machine learning, e-commerce, information security and psychology. The School has a good record for recruiting PhD students from our own graduates and our MSc degrees prove an attractive option.

Source : The University of Nottingham

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