ADP in Business Analytics
The Associate Degree in Business Analytics combines a foundation in business with introductory programming, databases, and data analysis. Students study Python, machine learning applications, and data science tools alongside accounting, finance, and marketing. The program develops the ability to interpret business information, communicate findings, and use data responsibly in routine business decisions.
Program Learning Outcomes
On completion of the program, students will be able to:
PLO 1: Knowledge and Business Application
Demonstrate fundamental knowledge of business analytics concepts, including data analysis, statistical tools, data visualization, and business intelligence, and apply this knowledge to address routine business problems.
PLO 2: Critical Thinking and Decision Making
Use basic analytical tools and critical thinking techniques to interpret data and support informed, data-driven decision-making.
PLO 3: Communication and Team Building
Communicate analytical insights effectively in professional settings and work collaboratively as a member of diverse teams.
PLO 4: Ethics and Social Responsibility
Apply ethical principles in data handling and analytics practices, ensuring responsible use of information and awareness of organizational and societal impact.
PLO 5: Entrepreneurship and Leadership
Demonstrate analytical thinking, innovation, and entrepreneurial awareness while adapting to evolving data-driven business environments.
Program Details & Curriculum
Program Duration
2 to 3.5 years
(4 Semesters)
Credit Hours
70 Cr. Hrs.
| Program Overview | ||||
|---|---|---|---|---|
| The program comprises 70 credit hours across 4 semesters, with a minimum duration of 2 years. | ||||
| Program feature | Requirement | |||
| Total credit hours | 70 | |||
| Total courses | 27 | |||
| Duration | 2 to 3.5 years | |||
| Semesters | 4 | |||
| Curriculum component | Courses | Credit hours | ||
| General Education | 15 | 34 | ||
| Mandatory Core Courses | 5 | 15 | ||
| Domain Core Courses | 7 | 21 | ||
| Total | 27 | 70 | ||
| Regular semester course load: 15 to 21 credit hours. | ||||
| Semester 1 | ||||
| Code | Course title | Credits | Category | Pre-Requisite |
| GEN103 | Introduction To Mathematics | 3+0 | GEN ED | |
| GEN101 | Functional English | 3+0 | GEN ED | |
| GEN102 | Application Of Information And Communication Technologies | 2+0 | GEN ED | |
| GEN102-L | Application Of Information And Communication Technologies - Lab | 0+1 | GEN ED | |
| BMG111 | Principles Of Management | 3+0 | MCC | |
| BIT111 | Programming Fundamentals | 3+0 | DCC | |
| BIT213 | Introduction To Database Systems | 3+0 | DCC | |
| Semester credit hours | 18 | |||
| Semester 2 | ||||
| Code | Course title | Credits | Category | Pre-Requisite |
| GEN210 | Introduction To Statistics | 3+0 | GEN ED | |
| GEN124 | Philosophy And Critical Thinking | 2+0 | GEN ED | |
| GEN108 | Academic And Professional Writing | 3+0 | GEN ED | GEN101 |
| GEN105 | Environmental Studies And Sustainability | 2+0 | GEN ED | |
| GEN105-L | Environmental Studies And Sustainability - Lab | 0+1 | GEN ED | |
| GEN111 | Understanding Of Holy Quran - I | 0+1 | GEN ED | |
| BMG151 | Organizational Behavior | 3+0 | MCC | BMG111 |
| BAC111 | Principles Of Accounting | 3+0 | MCC | |
| Semester credit hours | 18 | |||
| Semester 3 | ||||
| Code | Course title | Credits | Category | Pre-Requisite |
| Foreign Language | 2+0 | GEN ED | ||
| GEN110 | Islamic Studies (Religious Studies) | 2+0 | GEN ED | |
| GEN120 | Pakistan Studies | 2+0 | GEN ED | |
| GEN112 | Understanding Of Holy Quran II | 0+1 | GEN ED | GEN111 |
| BBA211 | Business Analytics | 3+0 | DCC | GEN210 |
| BIT351 | Machine Learning And Applications | 3+0 | DCC | BIT111 |
| BIT251 | Analytics Programming (Python) | 3+0 | DCC | BIT111 |
| Semester credit hours | 16 | |||
| Semester 4 | ||||
| Code | Course title | Credits | Category | Pre-Requisite |
| GEN215 | Civics And Community Engagement | 2+0 | GEN ED | |
| GEN213 | Ideology & Constitution Of Pakistan | 2+0 | GEN ED | |
| GEN109 | Entrepreneurship | 2+0 | GEN ED | |
| BFN151 | Business Finance | 3+0 | MCC | |
| BMK211 | Principles Of Marketing | 3+0 | MCC | |
| BIT211 | AI In Business | 3+0 | DCC | GEN102 |
| BIT451 | Tools & Techniques Of Data Science | 3+0 | DCC | GEN102 |
| Semester credit hours | 18 | |||