Program Overview
The BS in Data Science & Business Analytics at DITE is a dynamic four-year undergraduate program designed to empower students to turn data into meaningful business insights. Bridging the gap between business strategy and technology, this program equips students with advanced analytical skills and proficiency in Artificial Intelligence (AI) to address complex business problems and drive innovation.
Through a combination of hands-on experience in data analysis, statistical modeling, machine learning, and data visualization, students develop the ability to make data-driven decisions. The curriculum also emphasizes core business knowledge, critical thinking, problem-solving, and effective communication, preparing graduates to excel in today’s competitive, data-driven global business environment.
Scheme Of Study
Semester-wise Course Plan
Semester 1
| Modules | Credit Hours |
|---|---|
|
Quantitative Reasoning I |
3 |
|
Ideology & Constitution of Pakistan |
2 |
|
Civics and Community Engagement |
2 |
|
Functional English |
3 |
|
Sociology |
2 |
|
Business & Ethics |
2 |
|
Total |
15 |
Semester 2
| Modules | Credit Hours |
|---|---|
|
Quantitative Reasoning II |
3 |
|
Expository Writing |
3 |
|
Fundamentals of Management |
3 |
|
Financial Accounting |
3 |
|
Fundamentals of Marketing |
2 |
|
Application of Information & Communication Technologies (ICT) |
2 |
|
Total |
18 |
Semester 3
| Modules | Credit Hours |
|---|---|
|
Principles of Economics |
3 |
|
Fundamentals of Business Analytics |
3 |
|
Information Systems & Modern World |
3 |
|
Islamic Studies |
2 |
|
Arts & Humanities |
2 |
|
Natural Sciences |
3 |
|
Total |
16 |
Semester 4
| Modules | Credit Hours |
|---|---|
|
Quantitative Methods |
3 |
|
Fundamentals of Operations Management |
3 |
|
HRM |
3 |
|
Social Science |
2 |
|
Programming Fundamentals |
3 |
|
Total |
14 |
Semester 5
| Modules | Credit Hours |
|---|---|
|
Data Structures |
3 |
|
Business Database Strategy |
3 |
|
Financial Modelling |
3 |
|
Research Methods in Social Sciences |
3 |
|
Socio/Psycho Metrics |
3 |
|
Internship |
3 |
|
Total |
18 |
Semester 6
| Modules | Credit Hours |
|---|---|
|
Marketing Analytics |
3 |
|
Machine Learning |
3 |
|
Project Management |
3 |
|
Enterprise Resource Planning |
3 |
|
Elective I |
3 |
|
Elective II |
3 |
|
Total |
18 |
Semester 7
| Modules | Credit Hours |
|---|---|
|
Business Performance Management |
3 |
|
Project Analytics |
3 |
|
Tools & Techniques for Data Science |
3 |
|
Exploratory Data Analysis & Visualization |
3 |
|
Elective III |
3 |
|
Elective IV |
3 |
|
Total |
18 |
Semester 8
| Modules | Credit Hours |
|---|---|
|
Data Warehouse Management |
3 |
|
Supply Chain Analytics |
3 |
|
Project |
3 |
|
Elective V |
3 |
|
Elective VI |
3 |
|
Total |
15 |
Specializations
Finance
Marketing
Entrepreneurship
International Business
Human Resource Management
Supply Chain Management
Business Development
Develop expertise in financial management, investment analysis, and risk management to pursue careers in banking, financial institutions, or corporate finance
Learn about market research, brand management, digital marketing, and consumer behavior to drive business growth and customer engagement.
Focus on talent acquisition, employee development, and organizational behavior to become a strategic HR professional.
Understand global market dynamics, trade policies, and cultural differences to succeed in multinational corporations or international trade
Develop skills to start and grow your own business, including idea generation, business planning, and funding strategies
Optimize logistics, procurement, and distribution to ensure efficient and effective supply chain operations.
Experiential Learning
Industrial Visits
At DITE, we are dedicated to cultivating future business leaders and analytical thinkers through meaningful real-world engagement that complements academic learning. Our BS Data Science & Business Analytics students regularly participate in industrial visits to leading corporations, data-driven enterprises, startups, and business innovation hubs.
These visits provide students with first-hand exposure to contemporary business operations, analytical processes, and strategic decision-making frameworks employed by industry leaders. Through observation and interaction, students gain practical insights into how data analytics informs business growth, market competitiveness, and organizational efficiency.
By engaging with professionals in diverse business environments, students enhance their understanding of data-driven management, performance analysis, and evidence-based strategy formulation. Such experiences enable them to bridge theoretical learning with real-world practice, preparing them to navigate and contribute effectively to today’s data-centric business landscape.
The highlights from our recent visits reflect DITE’s commitment to fostering analytical excellence and producing business professionals equipped to lead with insight, innovation, and integrity.
Eligibility Criteria
Applicants must meet the following eligibility requirements to be considered for admission.
| Qualification | Grade Requirements | Mathematics requirements | Additional requirement |
|---|---|---|---|
|
Intermediate |
Minimum 50% marks
in Intermediate |
Students who have not studied Mathematics at the Intermediate level must pass Mathematics deficiency courses (6 Credit Hours) within the first two semesters |
Passing of DITE’s Admission Test, Panel Discussion, and Interview. |
|
A’ Level |
A’ Level (Minimum 3 A’level passes with grade C or above) or Equivalent qualification, including Mathematics (mandatory) |
Must have GCSE Mathematics * The students who have not |
Passing of DITE’s Admission Test, Panel Discussion, and Interview. Candidates having an A’ level or foreign qualification are required to provide an equivalence certificate from IBCC or HEC, Islamabad, as applicable. |
Fee Structure
The fee structure of BS Data Science & Business Analytics for the academic year 2026-27 is as follows:
| Description | Year 1 | Year 2 | Year 3 | Year 4 |
|---|---|---|---|---|
|
Tuition Fee |
Rs. 330,000/- |
Rs. 330,000/- |
Rs. 330,000/- |
Rs. 330,000/- |
|
Library Fee |
10,000/- |
10,000/- |
10,000/- |
10,000/- |
|
Student Activity Fee |
10,000/- |
10,000/- |
10,000/- |
10,000/- |
|
Total Fees |
350,000/- |
350,000/- |
350,000/- |
350,000/- |
ADMISSION OPEN
2026-2027
SHAPE YOUR FUTURE WITH US
FAQs
The BS Data Science & Business Analytics at DITE is a four-year undergraduate degree that combines data science and business strategy. The program trains students to analyze data, develop predictive models, and make evidence-based decisions using advanced analytical and AI tools.
Graduates can pursue careers such as Business Analyst, Data Analyst, Marketing Analyst, Financial Analyst, Data Consultant, or AI Project Manager in both corporate and entrepreneurial settings.
Yes. DITE’s Career Development Unit assists students with internships, resume preparation, interview training, and professional networking with industry partners.
Yes. Transfer applications from HEC-recognized institutions are evaluated on a case-by-case basis, depending on course equivalence and academic performance.
Yes. DITE offers a range of scholarships. Students can obtain full details and eligibility criteria from the Finance Office.
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