SULTAN QABOOS UNIVERSITY · OMAN
MSc in Data Science and Machine Learning
Master's · Taught in en
At a glance
24 mo
Duration
5.5
IELTS
—
Tuition / yr
en
Language
Master's
Level
The Master of Science (MSc) in Data Science and Machine Learning program at Sultan Qaboos University is designed for students seeking advanced knowledge in the rapidly evolving fields of data analysis and artificial intelligence. This program requires students to complete coursework and a thesis, offering a blend of theoretical understanding and practical application. The curriculum focuses on developing skills to handle complex data, build predictive models, and interpret findings. Graduates will be equipped to tackle data-driven challenges in various industries.
Curriculum
The program is structured around coursework and a thesis. Students are expected to complete a specified number of credit hours for their courses before commencing their thesis work. The thesis typically involves literature review, research, analysis, and defense.
- Year 1
- Year 2
Careers
Graduates of the MSc in Data Science and Machine Learning program are prepared for a variety of roles in industries that leverage data analytics and artificial intelligence. The program aims to equip students with the skills needed to solve complex problems and drive innovation.
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- AI Specialist
- Business Intelligence Analyst
- Data Engineer
Frequently asked questions
- What are the academic and English language requirements for the MSc in Data Science and Machine Learning?
- You need a Bachelor's degree with a minimum GPA of 2.75 in computing or related fields. For English proficiency, IELTS Academic score of 6.0 or TOEFL iBT score of 79 is required. Lower scores (IELTS 5.5 or TOEFL 69) may be accepted if you enroll in the LANK6000 course.
- How do I apply for the MSc in Data Science and Machine Learning program?
- International applicants must apply through the Sultan Qaboos University Students Information System (SIS) portal. You will need to gather required documents, submit your online application before the deadline, and potentially attend an admission exam and interview.
- What documents are required for the application?
- Required documents include your Bachelor's degree certificate and transcripts, proof of English proficiency (IELTS/TOEFL scores), and employment status documents such as a release letter, study leave, no objection letter, or statement of unemployment status.
- What are the tuition fees and living costs for international students?
- Tuition fees for international students are available by contacting the university directly, as they are subject to change. Information on estimated living costs can also be obtained by contacting the university.
- Are there any scholarships available for international students?
- Yes, Sultan Qaboos University offers scholarships for international students, including a Full Scholarship (tuition exemption and monthly allowance), a Tuition Fee Exemption Scholarship, and a Monthly Allowance Scholarship. Eligibility typically requires unconditional admission and a minimum CGPA of 3.00 for Master's studies.
- What are the career prospects after completing the MSc in Data Science and Machine Learning?
- Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, Data Analyst, AI Specialist, Business Intelligence Analyst, and Data Engineer in various industries that utilize data analytics and artificial intelligence.
Entry requirements
Bachelor's degree in Computing or Information Sciences (e.g., Computer Science, IT, Information Systems, Computer Engineering) or related fields.Minimum Cumulative GPA of 2.75 out of 4.0.
Bachelor's degree with a GPA between 2.5 and 2.74Two years of work experience in a related field.
Bachelor's degree and a Postgraduate Diploma in a related specialization.Minimum Cumulative GPA of 3.00 out of 4.0.
IELTS Academic6.0 or higher
TOEFL iBT79 or higher
IELTS Academic5.5 (provided registration in LANK6000 course)
TOEFL69 (provided registration in LANK6000 course)
Applicants must have a strong background in computing, mathematics (calculus, linear algebra, discrete mathematics), and statistics. Candidates from other disciplines may need to complete bridging courses. Full-time applicants require a release letter or study leave from their employer; part-time applicants need a no-objection letter. Unemployed applicants must provide a statement of unemployment status from the Ministry of Labour. An admission exam and interview may be required.
Fees
Tuition (international)Contact the university for current international tuition fees.
Tuition (home)Contact the university for current domestic tuition fees.
LivingContact the university for estimated living costs.
Tuition fees are subject to change. International students may be eligible for scholarships that can cover tuition fees.
How to apply
1. Obtain AdmissionEnsure you meet the academic and English proficiency requirements. Apply through the SQU SIS portal.
2. Prepare DocumentsGather all required supporting documents, including academic transcripts, degree certificates, and proof of English proficiency.
3. Submit ApplicationComplete and submit your online application via the SQU SIS portal before the application deadline.
4. Attend Admission Exam and InterviewIf shortlisted, you may be required to take an admission exam and attend an interview.
5. Receive Admission DecisionNotification of admission decision will be communicated through the SQU SIS portal or email.
Scholarships
Full ScholarshipExemption from tuition fees and a monthly allowance.
Exemption from Tuition Fees ScholarshipExemption from tuition fees only.
Monthly Allowance ScholarshipMonthly allowance only.
Frequently asked questions
What are the academic and English language requirements for the MSc in Data Science and Machine Learning?
+
You need a Bachelor's degree with a minimum GPA of 2.75 in computing or related fields. For English proficiency, IELTS Academic score of 6.0 or TOEFL iBT score of 79 is required. Lower scores (IELTS 5.5 or TOEFL 69) may be accepted if you enroll in the LANK6000 course.
How do I apply for the MSc in Data Science and Machine Learning program?
+
International applicants must apply through the Sultan Qaboos University Students Information System (SIS) portal. You will need to gather required documents, submit your online application before the deadline, and potentially attend an admission exam and interview.
What documents are required for the application?
+
Required documents include your Bachelor's degree certificate and transcripts, proof of English proficiency (IELTS/TOEFL scores), and employment status documents such as a release letter, study leave, no objection letter, or statement of unemployment status.
What are the tuition fees and living costs for international students?
+
Tuition fees for international students are available by contacting the university directly, as they are subject to change. Information on estimated living costs can also be obtained by contacting the university.
Are there any scholarships available for international students?
+
Yes, Sultan Qaboos University offers scholarships for international students, including a Full Scholarship (tuition exemption and monthly allowance), a Tuition Fee Exemption Scholarship, and a Monthly Allowance Scholarship. Eligibility typically requires unconditional admission and a minimum CGPA of 3.00 for Master's studies.
What are the career prospects after completing the MSc in Data Science and Machine Learning?
+
Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, Data Analyst, AI Specialist, Business Intelligence Analyst, and Data Engineer in various industries that utilize data analytics and artificial intelligence.