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Master of Science in Business Analytics

Overview of MS Business Analytics Program

In today's data-driven world, the ability to transform complex data into actionable business insights is invaluable. Our Master of Science in Business Analytics program is meticulously designed to equip you with the technical expertise and strategic acumen required to excel both locally and globally in this dynamic field.

Program Highlights:

  • Comprehensive Curriculum: Engage with a blend of courses that cover business data analysis, data visualization, machine learning in business context, and business strategy. The program is also equipped with industry-standard tools such as Python, R, SQL, Tableau and Power BI ensuring you're well-prepared to tackle real-world challenges.
  • Experiential Learning: Indulge in hands-on projects that provide practical experience, allowing you to apply theoretical knowledge to solve actual business problems.
  • Expert Faculty: Learn from a diverse team of experienced professionals and academics who bring a wealth of industry knowledge and research expertise to the classroom.

Career Prospects:

The demand for skilled business analytics professionals is surging globally, with employment in data-related occupations projected to grow significantly through 2030, reflecting the increasing reliance on data-driven decision-making.

The business analytics field is experiencing significant growth, with hundreds of business analyst job openings across the country every month, indicating a robust demand for professionals equipped with analytical skills.

Graduates of our program will be able to be positioned for a variety of high-impact roles, including:

  • Data Scientist
  • Business Intelligence Analyst
  • Market Research Analyst
  • Consultant

Why Choose Our Program?

Industry Collaboration: Opportunity to gain access to wide range of leading organizations under the platform of well-established universities’ industry academia linkage.

Flexible Learning Options:  Flexible timings with weekend and evening classes to balance individuals’ professional and personal needs.

Global Perspective: Understand international business practices and the unique local market dynamics, preparing you for global operations.

  • Industry Connections: Benefit from our strong partnerships with leading companies, providing networking opportunities and potential pathways to employment.
  • Flexible Learning Options: Our program offers both weekend and evening classes, accommodating working professionals and students with diverse needs.
  • Global Perspective: Utilize the diverse institutional resources to gain insights into international business practices to operate effectively in an interconnected world.

Category or Area

Cr. Hrs.
  • Advanced Research Methods
  • Core Courses
  • Specialization / Elective Courses
  • Research Thesis
  • Total Credit Hours
 03
18
06
06
33

Semester Plan

Semester 1 Semester 2 Semester 3 Semester 4
  • Applied Multivariate Statistics (Core)
  • Descriptive Analytics and Data Visualization (Core)
  • Enterprise Business Intelligence (Core)
  • Advanced Research Methods
  • Data Mining and Predictive Analytics (Core)
  • Applied Forecasting and Tirr›e Series Analysis
  • Elective -1
  • Decision Models and Optimization Techniques (Core)
  • Elective —2
  • Partial Registration of Research Thesis
  • Research Thesis

Elective Courses

  • Human Resource (HR) Analytics

  • Customer Analytics

  • Healthcare Analytics

  • Marketing Analytics

  • Marketing Customer Insights Development

  • Operations Analytics

  • Financial Analytics

  • Digital Media Analytics

  • Special Topics in Business Analytics

Research Thesis

This program requires students to undertake research thesis of 06 credit hours to be done over two semester period. Students will have to engage with an organization during the research phase in order to demonstrate successful application of knowledge gained during the coursework to real world business scenarios involving analytical decision making. The thesis will be done individually under supervision of a faculty member.

Eligibility Criteria

  • Minimum 16 years of education, with at least 2.0/4.00 CGPA or equivalent in last-earned degree from HEC Recognized University/Institute.
  • -GRE General / GAT-General Test (with at least 50% score) OR Air University Admission test with 60% marks.