About the Programme
Artificial Intelligence (AI) deals with intelligent behaviour, learning, and adaptation in machines, robots and programs. Nowadays, AI is everywhere. For example, search engines use AI to improve answers to queries, to recognize speech, and to translate languages. Email programs use it to filter spam. Banks use AI to predict exchange rates and stock markets. In healthcare, AI is used for instance to recognize tumours. Robots also use it to localize themselves and obstacles, autonomous cars use it to drive, video games use it to enhance the player’s experience, smartphones use it to recognize objects, faces, voices, etc. Big players such as Google, Amazon, Baidu, Microsoft are investing billions in AI, and the AI-related job market is growing extremely rapidly.
AI has become a core course of most CS programmes. By launching a BSc programme in AI, GUtech will be one of the first institutions in the region to do so. Following the global trend, Omani companies will also need AI technology to boost their business and be internationally and regionally competitive. However, currently, there is no workforce which has skills in AI. Graduates of the proposed programme will then fill this gap.
A wide range of career opportunities in the field of computer science and information technology is open to graduates who specialized in artificial intelligence. Graduates specialized in artificial intelligence can also pursue their postgraduate studies. Among the career opportunities such as knowledge engineer, intelligent systems or expert systems developer, systems analyst, systems programmer, systems designer, software developer, software consultant, computer scientist, and researcher.
Skills and attributes gained on graduation
The generic attributes and skills that graduates are expected to develop during their undergraduate studies are:
- Ethics – The graduates have developed awareness and holistic understanding of their role as responsible citizens in an increasingly globalised context.
- Critical thinking and problem solving – The graduates are able to engage real-world problems in a theoretically informed, rigorous, and questioning manner. They are able to devise solutions, select the most appropriate one, implement it, and reflect on its performance.
- Creative thinking – The graduates are able to think laterally and develop creative ideas.
- Individual and team work – The graduates have the capability to work effectively alone or in a team, to be self-directed, and to show independent judgment.
- Communication – The graduates are effective communicators, using oral, written, and electronic communication skills. They can interact confidently in a variety of settings, with a range of people from both genders, individually and in team situations, from peers to the wider community.
- Life-long-learning – The graduates appreciate that learning is continuous and have the ability to continue learning throughout life. They have developed a variety of approaches to learning, including self-directed, collaborative and self-reflective processes.
Graduates from the BSc in International Business & Service Management will also have developed the following programme-specific attributes and skills:
Knowledge and understanding of computer science – Graduates have gained a broad and sound knowledge in mathematics, computer science and business, enabling them to understand the phenomena characteristic to computer science and its applications in the information technology and business world; in particular, the graduates have gained the ability to look at computer science challenges from both the technical and the business perspectives, and they can adapt quickly to the continuous changes in the computer science field.
Computer science analysis and modelling – Graduates are able to identify, formulate and solve problems particular to computer science with full knowledge of the limitations of computation; in particular, they have the capacity to select from alternative solutions to problems; graduates are also able to analyse products, processes and methods used in their discipline based on scientific facts; they know how to select suitable methods of analysing, modelling, simulating and optimising and apply them with a high degree of competence.
Software design – Graduates have developed the ability to design computer programs or processes according to specified requirements; they have developed a practically oriented understanding of software design methods and the ability to apply them in a competent manner; in particular, they have knowledge of and practical experience with several computer programming languages and they can plan and carry out software projects.
Investigations and assessment – Graduates are able to carry out literature research and know how to use scientific databases and other sources of information for their work; in particular, they have developed the skills to identify and employ suitable software tools for their work and pursue in- depth work in a self-elected application domain.
Computer science practice – Graduates have developed the ability to deal with the different kinds of challenges that may appear in the design, development and implementation of computer science applications, including software design and development, data and communication technology, usability and security engineering, and management challenges of large software systems; graduates are able to plan, control and monitor IT applications and to develop and operate computer systems and equipment; they are also able to independently consolidate the knowledge gained and are aware of the non- technical (e.g., ethical) effects of IT activities.
Knowledge and understanding of AI : Graduates have demonstrated an understanding of all the main areas of Machine Learning and AI and have also demonstrated the ability to exercise critical judgement in the evaluation of Machine Learning and AI applications.
AI practice: Graduates are able to apply a critical understanding of essential concepts, principles and practices of Machine Learning and AI, and critically evaluate the results to justify the selection and use of tools and techniques.
The new Bachelor of Science in Artificial Intelligence is an eight semester programme which requires four years of study.
The 4 first semesters are almost the same as our existing BSc in CS. Indeed, students will take the basic courses of CS including programming and data structures, database systems, software engineering, and basic math courses. Besides, students will get introductory 3 courses related to AI in semesters 2, 3, and 4. In the next 4 semesters, several other AI-related courses are offered. In addition to basic AI concepts, students will be exposed to the main sub areas of AI such as Machine Learning, Cognition, and Autonomous Systems. The new programme will also keep the minor in Business that the CS programme has already.
|Type of Certificate||Does this apply to you?||You will be admitted to:|
|Omani General Education Diploma (GED)||Pass in General Education Diploma with|
‘65%’ in Pure Mathematics
‘65%’ in English.
|Academic Foundation Programme|
|Indian Certificates||Pass in:|
– Central Board of Secondary Education (CBSE) with an average below 70%, or
– Indian State Board Examinations with an average below 70%, or
– High School Certificate (12 years of schooling) with an average below 70%.
Pass in Mathematics at grade 12, with a minimum 60% mark.
|Academic Foundation Programme|
|Indian Certificates||Pass in CBSE or ISBE or High School Certificate with an average of 70% or above,|
Pass in Mathematics at grade 12 with a minimum 70% mark.
Academic IELTS 6.0 in overall (TOEFL 76 – iBT).
|GCE Certificate (AS and A-level)||Pass in 4 subjects at AS-level and 2 subjects at A-level,|
Pass in mathematics at GCSE level.
|Academic Foundation Programme|
|GCE Certificate (AS and A-level)||In addition to the above:|
Pass in mathematics at AS-level, with at least ‘C’.
|International Baccalaureate||IB Certificate or Diploma, but not fulfilling the requirements for direct entry into BSc.||Academic Foundation Programme|
|International Baccalaureate||Pass in IB diploma or certificate, with at least 24 points,|
At least (3) points in any type of mathematics at HL or (4) points in any type of
mathematics at SL, but not mathematical studies.
Recommended Study Plan
Mathematics I: Calculus
Introduction to Business Management
Language and Cultural Skills I
Mathematics II: Linear Algebra
Concepts in AI
Computer Applications in Business
Language and Cultural Skills II
AI: Representation and Problem Solving
Language and Cultural Skills III
|4||Introduction to Machine Learning
Introduction to Information Security
Accounting and Controlling
General Elective(s) (recommended: AI for Business)
Life Skills Course IV
Web design and development
Advanced Machine Learning
Language and Cultural Skills V (recommended: course on ethics)
|6||Probability and Statistics
AI Elective I
Life Skill 6
Decision making for autonomous systems
AI Elective II
|8||Bachelor Thesis (AI related)
Thesis Colloquium (AI related)
Special Topic in AI
|Cyber Security Electives|
|Introduction to Natural Language Processing|
Knowledge Engineering in AI
Big Data Analytics
|Investment and Finance|
Organisation and Human Resources
Strategic Business Planning
Topics in Business