The Bachelor of Science (BS) in Business Analytics at UCP is a cutting-edge four-year undergraduate degree designed to equip students with the essential skills to transform raw data into actionable insights. This program uniquely positions you at the critical nexus of technology and business, enabling you to leverage advanced analytical tools and emerging Artificial Intelligence (AI) capabilities to solve complex business challenges and drive innovation. You will gain proficiency in data analysis, statistical modeling, machine learning, and data visualization, all grounded in a strong understanding of core business principles. It is structured to foster critical thinking, problem-solving, and effective communication, preparing graduates to become leaders who can drive data-informed, AI-enhanced decisions and navigate the complexities of the modern data-driven economy
BS Business Analytics
The BS in Business Analytics program typically consists of around 132 credit hours. The curriculum meticulously blends foundational general education, core business knowledge, and specialized, in-depth courses in analytics, with a strong emphasis on practical application of modern technologies. Key areas of study include:
- Statistical Analysis & Probability
- Programming for Analytics (e.g., Python, R)
- Database Management & SQL
- Data Mining & Machine Learning (including foundational AI principles and algorithms)
- Introduction to Artificial Intelligence & its Business Applications
- Data Visualization & Storytelling (e.g., Tableau, Power BI)
- Predictive Modeling & Forecasting
- Business Intelligence & Decision Support Systems
- AI-driven Business Solutions (e.g., natural language processing basics, intelligent automation concepts)
- Ethical Data Handling, AI Ethics & Governance
| To be eligible for admission into the BSBA program, applicants must meet the following criteria: |
| Academic Qualification: At least 45% marks in intermediate or equivalent |
| Admission Test: All applicants are required to pass the UCP Admission Test |
| Matric | Intermediate | Admission Test |
| 10% | 45% | 45% |
Program Name: BS Business Analytics
Admission Fee: 25,000
| Per Credit Hour Fee | 1st Sem Total Fee | 1st Installment | 1st Installment with 25% Scholarship | 1st Installment with 30% Scholarship | 1st Installment with 50% Scholarship | 1st Installment with 75% Scholarship | Total Credit Hours | Total Fees (Incl Admission Fees) |
| 10,640 | 184,600 | 104,800 | 84,850 | 80,860 | 64,900 | 44,950 | 132 | 1,429,480 |
Disclaimer
The above-mentioned fee structure is for illustration purpose only. UCP reserves the rights to make changes in the Fee Structure whenever deemed necessary or appropriate.
Semester 1
| Sr. No. | Course Title | Category | Credit Hours | Pre-requisites |
| 1 | Quantitative Reasoning I | General Ed | 3 | - |
| 2 | Ideology & Constitution of Pakistan | General Ed | 2 | - |
| 3 | Civics and Community Engagement | General Ed | 2 | - |
| 4 | Functional English | General Ed | 3 | - |
| 5 | Sociology | General Ed | 2 | - |
| 6 | Business & Ethics | Major | 3 | - |
| Total | - | - | 15 | - |
Semester 2
| Sr. No. | Course Title | Category | Credit Hours | Pre-requisites |
| 1 | Quantitative Reasoning II | General Ed | 3 | QR I |
| 2 | Expository Writing | General Ed | 3 | Functional English |
| 3 | Fundamentals of Management | Inter | 3 | Business & Ethics |
| 4 | Financial Accounting | Inter | 3 | - |
| 5 | Fundamentals of Marketing | Major | 3 | - |
| 6 | Application of Information & Communication Technologies (ICT) | General Ed | 3 | - |
| Total | - | - | 18 | - |
Semester 3
| Sr. No. | Course Title | Category | Credit Hours | Pre-requisites |
| 1 | Principle of Economics | Inter | 3 | |
| 2 | Fundamentals of Business Analytics | Inter | 3 | - |
| 3 | Information Systems & Modern World | Major | 3 | - |
| 4 | Islamic Studies | General Ed | 2 | - |
| 5 | Arts & Humanities** | General Ed | 2 | - |
| 6 | Natural Sciences*** | General Ed | 3 | - |
| Total | - | - | 16 | - |
Semester 4
| Sr. No. | Course Title | Category | Credit Hours | Pre-requisites |
| 1 | Quantitative Methods | Inter | 3 | QR-1, QR-2 |
| 2 | Fundamentals of Operations Management | Major | 3 | - |
| 3 | HRM | Major | 3 | Fundamentals of Management |
| 4 | Social Science* | General Ed | 2 | - |
| 5 | Programming Fundamentals | Major | 3 | ICT |
| Total | - | - | 14 | - |
Semester 5
| Sr. No. | Course Title | Category | Credit Hours | Pre-requisites |
| 1 | Data Structures | Major | 3 | Programming Fundamentals |
| 2 | Business Database Strategy | Major | 3 | Fundamentals of Business Analytics |
| 3 | Financial Modelling | Major | 3 | Financial Accounting, Data Analytics Techniques |
| 4 | Research Methods in Social Sciences | Major | 3 | - |
| 5 | Socio/Psycho Metrics | Major | 3 | QR-2 |
| 6 | Internship | - | 3 | - |
| Total | - | - | 18 | - |
Semester 6
| Sr. No. | Course Title | Category | Credit Hours | Pre-requisites |
| 1 | Marketing Analytics | Major | 3 | Fundamentals of Business Analytics |
| 2 | Machine Learning | Major | 3 | Quantitative Methods |
| 3 | Project Management | Major | 3 | - |
| 4 | Enterprise Resource Planning | Major | 3 | - |
| 5 | Elective - 1 | Major | 3 | - |
| 6 | Elective - 2 | Major | 3 | - |
| Total | - | - | 18 | - |
Semester 7
| Sr. No. | Course Title | Category | Credit Hours | Pre-requisites |
| 1 | Business Performance Management | Major | 3 | HRM, Fundamental of Management |
| 2 | Project Analytics | Major | 3 | Project Management |
| 3 | Tools & Techniques for Data Science | Major | 3 | - |
| 4 | Exploratory Data Analysis & Visualization | Major | 3 | - |
| 5 | Elective - 3 | Major | 3 | - |
| 6 | Elective - 4 | Major | 3 | - |
| Total | - | - | 18 | - |
Semester 8
| Sr. No. | Course Title | Category | Credit Hours | Pre-requisites |
| 1 | Data Warehouse Management | Major | 3 | Business Database Strategy |
| 2 | Supply Chain Analytics | Major | 3 | Fundamentals of Business Analytics |
| 3 | Project | - | 3 | - |
| 4 | Elective - 5 | Major | 3 | - |
| 5 | Elective - 6 | Major | 3 | - |
| Total | - | - | 15 | - |
The BS in Business Analytics program at UCP equips graduates with the critical analytical, technical, and business skills to pursue highly rewarding and in-demand careers at the forefront of the data revolution. You will be prepared to transform data into actionable insights, driving strategic decisions and innovation across a multitude of industries.
Graduates are primed for roles such as:
- Data Analyst / Business Analyst: Interpreting data, generating reports, and providing insights to solve business problems.
- Business Intelligence (BI) Analyst/Developer: Designing and developing BI solutions, dashboards, and reports to track key performance indicators.
- Marketing Analyst: Analyzing customer data, campaign performance, and market trends to optimize marketing strategies.
- Financial Analyst (Quantitative Focus): Using data models for financial forecasting, risk management, and investment analysis.
- Supply Chain Analyst: Optimizing logistics, inventory, and supply chain operations through data analysis.
- Operations Analyst: Improving business processes and efficiency using data-driven methodologies.
- Data Visualization Specialist: Creating compelling visual representations of data to communicate complex information effectively.
- Junior Data Scientist: Applying statistical and machine learning techniques to build predictive models (often a stepping stone to more senior roles).
- Analytics Consultant: Advising organizations on how to leverage data and analytics to achieve their business objectives.
- AI/ML Implementation Specialist (Entry-Level): Assisting in the deployment and monitoring of AI and machine learning models in business contexts.
Opportunities abound in diverse sectors including:
- Technology (SaaS, E-commerce, Big Tech)
- Banking, Finance, and Insurance (FinTech, Risk Management)
- Healthcare and Pharmaceuticals
- Retail and Consumer Packaged Goods (CPG)
- Consulting (Management, Technology, and Data)
- Manufacturing and Engineering
- Marketing and Advertising
- Logistics and Transportation
- Government and Public Sector
With a curriculum rich in Python, R, SQL, machine learning algorithms, AI applications, predictive modeling, and advanced data visualization tools, students graduate ready to make immediate contributions to both established corporations and agile, data-forward ventures, helping them uncover trends, optimize processes, and gain a competitive edge.
To be awarded the BSBA degree, a student must:
- Successfully complete all required 132 credit hours, including coursework, internship, and Final Year Project.
- Maintain a minimum Cumulative Grade Point Average (CGPA) of 2.00.
- Pass all courses as per university and HEC guidelines.
- Fulfill all administrative and academic obligations of the university (including internship and final year project completion, VIS, attendance, and ethical conduct).
- Complete the program within the maximum duration of 7 years as allowed by HEC.