The Master of Science in Statistics (MSc. Statistics) is a two-year, full-time programme that blends advanced coursework with research, culminating in a thesis. Students develop expertise in statistical theory, methods, and their practical applications. The programme has started admiting students on a three-year part-time track as well.

Admission Requirements:

• Bachelor’s degree in Statistics or a related field from SQU or an equivalent institution (subject to assessment).

• Minimum CGPA of 2.75 (applicants with 2.5–2.74 may be considered with work experience).

• Conditional admission possible via an 18-credit bridging year for candidates needing additional preparation.

• Must meet the university’s Master’s guidelines and complete an interview (phone interviews available for international candidates).

English Proficiency:

• IELTS Academic: 6.0, or

• TOEFL: 550 (Paper-based), 213 (Computer-based), or 79 (Internet-based).

Program Structure:

• 24 credits of coursework (minimum GPA 3.00) plus a 6-credit research project.

• Two tracks: Full-time (2 years) and Part-time (3 years).

• Thesis: Topic chosen with a faculty supervisor, registered after 12 credits, followed by a defense.

Tuition Fees:

• Omani Students: 90 per credit hour; Thesis: 840

• Non-Omani Students: 120 per credit hour; Thesis: 1,120

• Bridging Courses: 50 per credit hour

This program prepares graduates for successful careers in academia, research, government, and industry.

OBJECTIVES

The objectives of the postgraduate programs in Statistics in SQU are:

• Provide an avenue for deepening knowledge and understanding of statistical theory and their applications in real life situations.

• Develop students’ interest and ability in the statistical sciences and to nurture positive attitudes and love for their learning.

• Provide high quality statistical education to conduct quality research and to provide service programs to the community.

• Fulfill the Omani society's need of trained statisticians for both public and private sectors.

• Prepare students for a variety of professional careers in academia, public and private sectors and research establishment.

• Provide students with knowledge and skills that enable them to pursue doctoral degrees in Statistics and/or related areas.

PROGRAMME LEARNING OUTCOMES

1. Demonstrate knowledge of the mathematical and theoretical foundations of statistical methods and their applications to solve real-life problems. 

2. Integrate modern statistical computing tools into comprehensive data analysis workflows.

3. Evaluate data critically, validate analytical results, and synthesize conclusions under conditions of uncertainty.

4. Collaborate effectively within a team, assuming leadership roles to guide projects and decision-making processes.

5. Communicate statistical study findings clearly and persuasively in both technical and non-technical contexts.

6. Achieve excellence in professional statistical practice, demonstrate leadership, and contribute to advancements in academic research.

Degree Plan

A student needs to complete 24 credits of courses plus a mandatory Research Project.

Degree Plan 2021 - 2025