Description
The MSc Artificial Intelligence and Machine Learning (MSc AI and ML) programme aims to provide students with a cutting-edge knowledge of technologies and applications that span almost every aspect of our lives. AI and ML are now a days used from smartphone apps to self-driving cars. AI and ML are built on a foundation of computer science and this programme will enable students to combine problem-solving skills, practical skills like programming, and specialist knowledge on tools and techniques for creating smart algorithms and software.
Educational Aims of the Programme
The MSc Artificial Intelligence and Machine Learning is delivered with scheduled lectures, seminars and tutorials. Combined, these allow students to develop their AI and ML skills for life in the knowledge economy. Besides detailed knowledge and understanding of subject material, a key objective in the programme is to develop and promote core study skills, and a reflective approach to learning.
The programme objectives include enabling students to study topics such as programming, machine learning, classification, clustering with modules that challenge them to combine and apply these topics on practical projects with career-oriented outcomes.
Also, the programme with the project module aims at providing opportunities to students to leverage industry-standard software tools to developing cutting-edge solutions for real-world problems.
Graduates will be equipped with the necessary skills and knowledge to develop high quality systems and to manage all aspects of AI and ML, thus enabling them to meet the increasing commercial demand for advanced computer science graduates.
Modules have a structured approach in their design and students access the course content via Moodle, the virtual learning environment.
Employability and Careers
The professional field in Artificial Intelligence and Machine Learning has a wide range of career opportunities. One can take on different roles and responsibilities depending upon his or her interest.
For those looking to set themselves apart, a Master’s degree in Artificial Intelligence and Machine Learning can provide firsthand experience and knowledge.
The need for skilled Artificial Intelligence and Machine Learning professionals’ is there in nearly every sector/industry, which includes:
- Information Technology
- Financial services
- Healthcare
- Media
- Marketing
- Public Sector
- IoT-enabled Systems
- Agriculture
- Gaming
- Retail
Programme Structure
MSc in Artificial Intelligence & Machine Learning – General and with Pathways
- MSc in Artificial Intelligence & Machine Learning (General)
- MSc in Artificial Intelligence & Machine Learning with Federated Learning
- MSc in Artificial Intelligence & Machine Learning with Business Technology
S. No. | Module Title | Module Code | Module Type | Credits |
1. | Principles and Applications of Artificial Intelligence and Machine Learning | OMC9000UK7 | Core/Compulsory Module | 20 credits |
2. | Deep Learning and Neural Networks | OMC9001UK7 | Core/Compulsory Module | 20 credits |
3. | Mathematical Applications in Artificial Intelligence and Machine Learning (ML) | OMC9002UK7
| Core/Compulsory Module | 20 credits |
4. | Optimisation and Techniques in Machine Learning | OMC9003UK7
| Core/Compulsory Module | 20 credits |
5. | Research Methodologies | OMC9004UK7
| Core/Compulsory Module | 20 credits |
6. | Pathway/Option Module No. One | Mentioned in the Table below | Pathway/Option Module | 20 credits |
7. | Pathway/Option Module No. Two | Mentioned in the Table below | Pathway/Option Module | 20 credits |
8. | Project | OMC9009UK7 | Option Module | 40 credits |
Total Credits | 180 | |||
- Note: This MSc programme, either General or with a Pathway, is awarded upon successfully passing and achieving 180 credits.
*Pathway Modules | |||
S. No. | Pathway | Pathway Module No. One with Module Code | Pathway Module No. Two with Module Code |
1. | MSc in Artificial Intelligence & Machine Learning with Federated Learning | Concepts and Techniques of Neural Computation (OMC9005UK7) | Language Processing (OMC9006UK7) |
2. | MSc in Artificial Intelligence & Machine Learning with Business Technology | Digital Business Strategy (OMC9007UK7) | Digital Leadership (OMC9008UK7) |
Note: Students pursuing MSc in Artificial Intelligence & Machine Learning (General) with no pathway can select their Two Option Modules from the Pathway Modules to be delivered.
Duration of study:
- Full Time: Fourteen Months (Approximately)
- Part Time: Two years (Approximately)
ENTRY REQUIREMENTS
Entry Requirements for Bachelor’s Degree holders
S.No. | Requirements |
1. | Bachelor’s Degree in a relevant area e.g. Computing, Information Systems or an appropriate Engineering specialism endorsed by the Ministry of Higher Education, Research and Innovation/Concerned Government Authority of Sultanate of Oman. § The overall grade (CGPA) in Bachelor’s degree must not be less than “Good” or it is equivalent such as Lower Second Class OR § A satisfactory grade or “Pass” may be accepted provided that there is at least two years of work experience in the field of specialisation · Please note: In addition to the above, Equalisation document from Ministry of Higher Education, Research and Innovation, Sultanate of Oman is required if the Bachelor’s Degree has been completed/achieved from outside the Sultanate of Oman. |
2. | General Education Diploma or equivalent (Secondary School Certificate) · Please note: In addition to the above, Equalisation document from Ministry of Education, Sultanate of Oman is required, if the above certificate has been issued from an examination authority which is not with the Ministry of Education, Sultanate of Oman or the certificate has been achieved from outside the Sultanate of Oman). |
3. | a) Work Experience b) Job Description For those Bachelor’s Degree holders as mentioned above in No.1, ‘A satisfactory grade or “Pass” may be accepted provided that there is at least two years of work experience in the field of specialisation’ § If the work experience is from a Government organisation, then the job experience letter/document and job description should be from the Human Resource department. § If the work experience is from a private organisation or a Government company or an entrepreneur then the work experience document should be from the Public Authority of Manpower Register, Sultanate of Oman. Here, the applicant must also bring his/her job experience letter/document and the job description from his/her workplace(s). |
4. | Two letters of recommendation or reference. |
5. | Personal Statement in support of application – A one page summary written by the Applicant on why he/she wants to study in the Master’s degree Programme. Things he/she may wish to include are reasons for his/her choice of the Programme, future career plans and any other information which he/she feels demonstrates his/her suitability for the Programme. |
6. | IELTS (Academic) score of 6.0 or its equivalent from a recognised International English Test OR Completion of Postgraduate Qualifying Programme (PQP) as required. |
7. | Curriculum Vitae (C.V.) |
8. | Copy of Government Identification Card (I.D. Card) |
9. | Copy of Passport |
10. | One Passport Size Photograph |
11. | Completed Application Form |
FEE PAYMENT PLAN
Entry Requirements for Diploma holders (Experience Route)
S.No. | Requirements |
1. | Diploma in a relevant area e.g. Computing, Information Systems or an appropriate Engineering specialism endorsed by the Ministry of Higher Education, Research and Innovation/Concerned Government Authority of Sultanate of Oman. · Please note: In addition to the above, Equalisation document from Ministry of Higher Education, Research and Innovation, Sultanate of Oman is required if the Diploma has been completed/achieved from outside the Sultanate of Oman. |
2. | General Education Diploma or equivalent (Secondary School Certificate) · Please note: In addition to the above, Equalisation document from Ministry of Education, Sultanate of Oman is required, if the above certificate has been issued from an examination authority which is not with the Ministry of Education, Sultanate of Oman or the certificate has been achieved from outside the Sultanate of Oman). |
3. | a) Work Experience b) Job Description Minimum 6 years of work experience which includes relevant management experience. § If the work experience is from a Government organisation, then the experience letter/document and job description should be from the Human Resource department. § If the work experience is from a private organisation or a Government company or an entrepreneur then the work experience document should be from the Public Authority of Manpower Register, Sultanate of Oman. Here, the applicant must also bring his/her job experience letter/document and the job description from his/her workplace(s). |
4. | The age of the applicant must be above 25 years. |
5. | At least 3 training course certificates. |
6. | No Objection Letter from the Workplace to study the Master’s Degree Programme at Gulf College. Please note: The Title of the Master’s degree programme must be mentioned on this document. |
7. | Two letters of recommendation or reference. |
8. | Personal Statement in support of application – A one page summary written by the Applicant on why he/she wants to study in the Master’s degree Programme. Things he/she may wish to include are reasons for his/her choice of the Programme, future career plans and any other information which he/she feels demonstrates his/her suitability for the Programme. |
9. | IELTS (Academic) score of 6.0 or its equivalent from a recognised International English Test OR Completion of Postgraduate Qualifying Programme (PQP) as required. |
10. | Curriculum Vitae (C.V.) |
11. | Copy of Government Identification Card (I.D. Card) |
12. | Copy of Passport |
13. | One Passport Size Photograph |
14. | Completed Application Form |
FEE PAYMENT PLAN
Gulf College offers several fee payments plans to accommodate the needs of our students
Monthly Payment Plan
Fee Category |
When to Pay | Amount in Omani Rials (OMR) | |
1. |
Admission and Registration Fee | Prior to receiving the Offer Letter to study the Master’s Programme | OMR 200
|
2. | Tuition Fee | Month 1 | OMR 425 |
3. | Tuition Fee | Month 2 | OMR 425 |
4. | Tuition Fee | Month 3 | OMR 425 |
5. | Tuition Fee | Month 4 | OMR 425 |
6. | Tuition Fee | Month 5 | OMR 425 |
7. | Tuition Fee | Month 6 | OMR 425 |
8. | Tuition Fee | Month 7 | OMR 425 |
9. | Tuition Fee | Month 8 | OMR 425 |
10. | Tuition Fee | Month 9 | OMR 425 |
11. | Tuition Fee | Month 10 | OMR 425 |
12. | Tuition Fee | Month 11 | OMR 425 |
13. | Tuition Fee | Month 12 | OMR 425 |
14. | Tuition Fee | Month 13 | OMR 425 |
15. | Tuition Fee | Month 14 | OMR 575 |
Total Fee in Omani Rials (OMR) | OMR 6300 (Omani Rials Six Thousand and Three Hundred Only) | ||
Note: The total fee is OMR 7000 (Omani Rials Seven Thousand Only). · The above fee of OMR 6300 (Omani Rials Six Thousand and Three Hundred Only) is a discounted fee as per the set Terms and Conditions of the College. | |||
Modular Installments Plan
Fee Category | When to Pay | Amount in Omani Rials (OMR) | |
1. |
Admission and Registration Fee
| Prior to receiving the Offer Letter to study the Master’s Programme | OMR 200
|
2. | Tuition Fee | Prior to commencement of the 1st Module | OMR 750 |
3. | Tuition Fee | Prior to commencement of the 2nd Module | OMR 750 |
4. | Tuition Fee | Prior to commencement of the 3rd Module | OMR 750 |
5. | Tuition Fee | Prior to commencement of the 4th Module | OMR 750 |
6. | Tuition Fee | Prior to commencement of the 5th Module | OMR 750 |
7. | Tuition Fee | Prior to commencement of the 6th Module | OMR 750 |
8. | Tuition Fee | Prior to commencement of the 7th Module § Enterprise & Innovation Project OR § Dissertation | OMR 1600 |
Total Fee in Omani Rials (OMR) | OMR 6300
(Omani Rials Six Thousand and Three Hundred Only) | ||
Note: · The total fee is OMR 7000 (Omani Rials Seven Thousand Only). · The above fee of OMR 6300 (Omani Rials Six Thousand and Three Hundred Only) is a discounted fee as per the set Terms and Conditions of the College. | |||
Single Installment Plan
Two Installments Plan
Study Mode
As per the schedule for each cohort, only one module is taught/supervised at a time.
For further information, please contact the Postgraduate Studies Department:
Phone: +968 24468666 | Mobile: +968 99049898
Email: