Executive Master in Business Analytics

Data-Driven Decision Making: The ability to analyze data to directly support and assist administrative and management decision-making processes.

Technological Proficiency: Mastery in using modern software technologies and tools specifically related to business analytics across various industry contexts.

Critical Thinking & Evaluation: Skills to evaluate data usage within organizations and propose evidence-based alternatives for management decisions.

Problem Solving: Competence in solving managerial problems related to data analytics and assessing the feasibility of different strategic options.

Professional Collaboration: Developed ability to work effectively in teams and communicate results clearly to relevant stakeholders to influence organizational strategy.

Strategic Transition: Knowledge to facilitate the successful transition of organizations to e-services through a philosophical and statistical analytical framework.

In addition to the general admission criteria outlined in the unified regulations for graduate studies at Saudi universities and the specific rules and procedures for postgraduate studies at KSU, the following requirements must be met to enroll in the EBA program:

1. Educational Background: Applicants must hold a bachelor’s degree from a Saudi university or an institution recognized by the Ministry of Higher Education. Degrees in science, engineering, business administration, or health-related fields are preferred. A minimum cumulative GPA of 2.75 out of 5.0 (Good) is required, with a GPA of at least 3.75 out of 5.0 (Very Good) in major courses, in accordance with Article 13 of the higher education regulations.
2. Work Experience: A minimum of one year of relevant practical experience is required.
3. Language Proficiency: Applicants must achieve a score of at least 4.5 on the IELTS or an equivalent English language proficiency test.

First Year – First Semester

EQUA510 – Statistics in Business Analytics – 3 Credit Hours
EMIS511 – Business Data Management – 3 Credit Hours
EQUA512 – Introduction to Business Analytics – 3 Credit Hours

First Year – Second Semester

EMIS520 – Enabling Technologies for Business Analytics – 3 Credit Hours
EMIS521 – Business Intelligence – 3 Credit Hours
EQUA522 – Predictive Analytics and Simulation – 3 Credit Hours

Second Year – First Semester

EQUA530 – Managerial Decision Making – 3 Credit Hours
EMIS531 – Big Data Analytics – 3 Credit Hours
EMIS532 – Business Data Mining – 3 Credit Hours

Second Year – Second Semester

EMIS540 – Managing Projects in Business Analytics – 3 Credit Hours
EQUA541 – Advanced Topics in Business Analytics – 3 Credit Hours
EQUA598 – Capstone Project – 3 Credit Hours

Notes:

• Total Credit Hours: 36 Credit Hours

• Core Curriculum: 11 core subjects covering technical and managerial aspects of business analytics.

• Capstone Project (EQUA598): Students complete an integrative industry project applying analytical tools to real-world business challenges.