Introduction
Business analytics, an emerging field, offers the critical tools and methodologies necessary for transforming this data into actionable insights that drive strategic decision-making. The Management Sciences Department is proud to offer a premier associate degree in business analytics, meticulously designed to meet both current and future market demands. This program stands out by providing a unique blend of knowledge with hands on practical skills, essential for navigating the complexities of today’s data-driven business environment. Our program is strategically positioned at the intersection of business, data science, and statistics, ensuring that students gain a comprehensive understanding of these interconnected domains. We emphasize a curriculum that integrates foundational statistical concepts with advanced computational techniques, tailored to address technological advancements and evolving industry needs. This approach ensures that our graduates are not only well-prepared for the contemporary professional world but are also equipped to adapt to future developments in business analytics.
Key features of the program include a robust curriculum that covers computing, statistics, data analytics, and business intelligence. This curriculum is designed to provide students with essential skills across business, technical, and programming disciplines. Moreover, the program is crafted to serve as a foundational steppingstone for those pursuing a Bachelor’s degree in Business Analytics or related fields in the future. This program not only aligns with industry demand but also prepares students to contribute effectively to the evolving business analytics domain, positioning them for success in a dynamic and technology-driven market.
Eligibility Criteria
- Minimum 45% marks in Intermediate/12 years education/A- Level (HSSC) or Equivalent with Mathematics are required for admission in Associate Degree Program in Business Analytics. An equivalency certificate by IBCC will be required in case of education from some other country or system.
- The students who have not studied Mathematics at the intermediate level have to pass deficiency courses in Mathematics (06 credits) in the first two semesters.
Award of Degree
To be eligible for the award of an Associate Degree in Business Analytics, a student is required to complete at least 72 credit hours with a minimum Cumulative Grade Point Average of 2.00 out of 4.00.
Scheme of Study
| Total Credit Hours | 71 |
| Total Semesters | 4 |
| Duration | 2 years |
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| Semester No. 1 | |||||||||
| Course Code | Title | Category | Sub Category | Type | Pre Requisite | Credit Hours | Specialization | ||
| CS101 | Introduction to Computing | General Education | Applications of Information and Communication Technologies (ICT) | Required | 3 (Theory:3, Practical:0) | ||||
| ENG101 | English Comprehension | General Education | Functional English | Required | 3 (Theory:3, Practical:0) | ||||
| MGT211 | Introduction To Business | General Education | Required | 3 (Theory:3, Practical:0) | |||||
| MTH202 | Discrete Mathematics | Major | Required | 3 (Theory:3, Practical:0) | |||||
| MTH302 | Business Mathematics & Statistics | General Education | Quantitative Reasoning | Required | 3 (Theory:3, Practical:0) | ||||
| MTH100 | General Mathematics | General Education | Deficiency | 3 (Theory:3, Practical:0) | |||||
| ETH202 | Ethics (for Non-Muslims) | General Education | Islamic Studies/Religious Education Studies | Elective | 2 (Theory:2, Practical:0) | ||||
| ISL202 | Islamic Studies | General Education | Islamic Studies/Religious Education Studies | Elective | 2 (Theory:2, Practical:0) | ||||
| VU001 | Introduction to e-Learning | General Education | Required | 1 (Theory:1, Practical:0) | |||||
| Semester No. 2 | |||||||||
| Course Code | Title | Category | Sub Category | Type | Pre Requisite | Credit Hours | Specialization | ||
| CS306 | Introduction to Python | Major | Required | 3 (Theory:3, Practical:0) | |||||
| CS442 | Introduction to Data Science | Major | Required | 3 (Theory:3, Practical:0) | |||||
| MGT101 | Financial Accounting | Major | Required | 3 (Theory:3, Practical:0) | |||||
| MGT602 | Entrepreneurship | General Education | Required | 3 (Theory:3, Practical:0) | |||||
| STA301 | Statistics and Probability | General Education | Quantitative Reasoning | Required | 3 (Theory:3, Practical:0) | ||||
| MTH104 | Sets and Logic | General Education | Deficiency | 3 (Theory:3, Practical:0) | |||||
| PAK301 | Pakistan Studies | General Education | Required | 2 (Theory:2, Practical:0) | |||||
| CS306P | Introduction to Python (Practical) | Major | Required | 1 (Theory:0, Practical:1) | |||||
| Semester No. 3 | |||||||||
| Course Code | Title | Category | Sub Category | Type | Pre Requisite | Credit Hours | Specialization | ||
| ENG201 | Business and Technical English Writing | General Education | Expository Writing | Required | 3 (Theory:3, Practical:0) | ||||
| GSC101 | General Science | General Education | Natural Sciences | Required | 3 (Theory:3, Practical:0) | ||||
| MGT415 | Introduction to Business Analytics | Major | Required | 3 (Theory:3, Practical:0) | |||||
| STA302 | Data Analytics and Business Intelligence | Major | Required | 3 (Theory:3, Practical:0) | |||||
| BNK501 | Banking Financial Analytics | Major | Elective | 3 (Theory:3, Practical:0) | |||||
| CS513 | Advanced Data Analytics and Business Intelligence | Major | Elective | 3 (Theory:3, Practical:0) | |||||
| PAK522 | Ideology and Constitution of Pakistan | General Education | Required | 2 (Theory:2, Practical:0) | |||||
| Semester No. 4 | |||||||||
| Course Code | Title | Category | Sub Category | Type | Pre Requisite | Credit Hours | Specialization | ||
| ACC501 | Business Finance | Major | Required | MGT101 | 3 (Theory:3, Practical:0) | ||||
| CS620 | Modelling and Simulation | Major | Required | 3 (Theory:3, Practical:0) | |||||
| ETH100 | Effective Citizenship | General Education | Civics and Community Engagement | Required | 3 (Theory:3, Practical:0) | ||||
| MGMT631 | Enterprise Resource Planning | General Education | Required | 3 (Theory:3, Practical:0) | |||||
| STA636 | Statistical Computing in R | Major | Required | 3 (Theory:3, Practical:0) | |||||
| MGMT614 | Supply Chain Management | Major | Elective | 3 (Theory:3, Practical:0) | |||||
| MKT610 | Customer Relationship Management | Major | Elective | MGT301 | 3 (Theory:3, Practical:0) | ||||