Bachelor of Business Analytics (BS BA)
Bachelor of Business Analytics (BS BA)
Introduction
The BS Business Analytics is a dynamic and market-oriented degree program aimed to provide strong analytical and critical thinking abilities to the students who wish to harness the power of data analysis to facilitate decision-making processes in organizations and solve business problems. The program is a blend of business knowledge, analytical tools, statistical techniques and computer applications for solving real business problems. Thus, the program prepares the next generation of managers with expertise to manage and analyze data for solving the pressing challenges faced by organization in management, HRM, finance, operations and marketing. The program follows a hands-on approach through which students will use the knowledge of business management, technology and the power of data analytics to create value for their organization. The program emphasizes on the development of all-rounded communications and soft skills, analytical reasoning skills, ethical decision making and problem-solving capabilities.
Program Distinctive Features
- The program emphasizes practical applications of business analytics, ensuring students gain hands-on experience through projects, case studies, and internships, preparing them for real-world challenges.
- Integrating business knowledge, analytical tools, statistical techniques, and computer applications, the program offers an interdisciplinary curriculum that equips students with a comprehensive skill set to address complex business problems.
- With a market-oriented approach, the program focuses on developing skills highly sought after by employers, such as data analysis, critical thinking, communication, and ethical decision-making.
- Recognizing the diverse interests and career aspirations of students, the program offers customizable pathways or specializations, allowing students to tailor their learning experience to align with their professional goals.
- In addition to technical competencies, the program places significant emphasis on developing soft skills such as teamwork, leadership, and communication, enhancing students' overall effectiveness in the workplace.
Program Objectives
- Equip students with advanced analytical skills and knowledge of statistical techniques, enabling them to analyze complex data sets and derive meaningful insights to inform strategic decision-making.
- Provide students with a solid foundation in business principles, ensuring they understand the broader context in which data analysis is applied and can effectively translate insights into actionable business strategies.
- Cultivate a strong sense of ethical responsibility among students, emphasizing the importance of integrity, transparency, and fairness in data analysis and business decision-making processes.
- Improve students' communication abilities, both oral and written, enabling them to effectively convey complex analytical findings to diverse stakeholders and facilitate collaboration within multidisciplinary teams.
- Prepare students for leadership positions by developing their critical thinking, problem-solving, and decision-making capabilities, empowering them to lead organizational initiatives that leverage data-driven insights for competitive advantage.
Career Prospects
Graduates with BS Business Analytics are well-equipped to contribute to a wide range of industries and functional areas, leveraging their skills in data analysis, business intelligence, and decision support. The interdisciplinary nature of the program prepares them for roles where a blend of business knowledge and analytical skills is crucial for success. The graduates of this program will be able to secure position for the below titles.
- Business Analyst
- Data Analyst
- Financial Analyst
- Marketing Analyst
- Operations Analyst
- Business Intelligence Analyst
- Data Scientist
- Predictive Analyst
- Project Manager
- Decision Science Analyst
- Machine Learning Analyst
Teaching Pedagogy
- Emphasizing a hands-on approach, the program utilizes experiential learning methods such as case studies, simulations, and internships to allow students to apply theoretical concepts in real-world contexts.
- Encouraging collaborative projects and group assignments fosters teamwork skills and exposes students to diverse perspectives, mirroring the collaborative nature of professional environments.
- Integrating industry guest lectures, workshops, and industry-sponsored projects enables students to gain insights into current industry practices and challenges, enhancing their relevance and employability upon graduation.
- Leveraging state-of-the-art technologies and software tools, the program ensures students are proficient in utilizing the latest analytical tools and platforms widely used in the industry.
Specialization
- Data Science
Eligibility Criteria
45% marks in FA/FSc/A-level or equivalent
Program Structure
The degree requires minimum 123 credit hours course work including a thesis of minimum 03 credit hours and an internship of 03 credit hours.
Scheme of Study
BS BA – MODEL ROADMAP
| Program Duration | 04 Years |
| Semester Duration | 16 weeks + 02 weeks for examination |
| Course Load |
15-18 credit hours (per semester) A student can be enrolled for one course beyond the maximum limit, if: 1) If his/her CGPA is above 3.5 2) The student needs the course to graduate within the maximum duration. |
| Attendance | 90 % |
| Total Credit Hours | 123 |
| Program Duration | 04 Years |
|---|---|
| Semester Duration | 16 weeks + 02 weeks for examination |
| Course Load |
15-18 credit hours (per semester) A student can be enrolled for one course beyond the maximum limit, if: 1) If his/her CGPA is above 3.5 2) The student needs the course to graduate within the maximum duration. |
| Attendance | 90 % |
| Total Credit Hours | 123 |
| Category | Code | Course Title | Cr. Hrs |
| Semester 1 | |||
| General Education | GE 1 | Functional English | 3-0-0 |
| General Education | GE 2 | Quantitative Reasoning 1- Business Mathematics | 3-0-0 |
| General Education | GE 3 | Islamic Studies | 2-0-0 |
| General Education | GE 5 | Applications of ICT | 2-1-0 |
| Major | CCS 101 | Programming Fundamentals | 3-1-3 |
| Interdisciplinary | PAD 101 | Introduction to Public Administration | 3-0-0 |
| Total Cr. Hrs. | 18 | ||
| Semester 2 | |||
| General Education | GE 6 | Expository Writing | 3-0-0 |
| General Education | GE 7 | Quantitative Reasoning 2- Probability and Statistics | 3-0-0 |
| General Education | GE 8 | Ideology & Constitution of Pakistan | 2-0-0 |
| General Education | GE 9 | Civics & Community Engagement | 2-0-0 |
| Major | MGT 101 | Principles of Management | 3-0-0 |
| Interdisciplinary | SOC 101 | Introduction to Social Work | 3-0-0 |
| Total Cr. Hrs. | 16 | ||
| Semester 3 | |||
| General Education | GE 4 | Social Sciences – Elective | 2-0-0 |
| General Education | GE10 | Natural Science Elective | 2-1-0 |
| General Education | GE 11 | Arts and Humanities Elective | 2-0-0 |
| General Education | GE 12 | Entrepreneurship, Innovation & Technology | 2-0-0 |
| Major | CCS 202 | Object Oriented Programming | 3-1-3 |
| Interdisciplinary | IRR 201 | International Relations | 3-0-0 |
| Total Cr. Hrs. | 16 | ||
| Semester 4 | |||
| Major | CCS 203 | Data Structures & Business Applications | 3-1-3 |
| Major | MKT 201 | Marketing Fundamentals | 3-0-0 |
| Major | ECO 201 | Microeconomics | 3-0-0 |
| Interdisciplinary | ACC 201 | Financial Accounting | 3-0-0 |
| Major | DSC 201 | Fundamentals of Business Analytics (MS Excel) | 3-1-3 |
| Total Cr. Hrs. | 17 | ||
| Semester 5 | |||
| Major | DSC 302 | Fundamentals of Web Analytics (Google Analytics) | 3-1-3 |
| Major | HRM 301 | HRM | 3-0-0 |
| Major | FIN 301 | Business Finance | 3-0-0 |
| Major | ECO 302 | Macroeconomics | 3-0-0 |
| Major | CCS 304 | Database Systems | 3-1-3 |
| Total Cr. Hrs. | 17 | ||
| Semester 6 | |||
| Major | ECO 303 | Basic Econometrics (R) | 3-1-3 |
| Major | MGT 304 | Research Methods | 3-0-0 |
| Major | MKT 302 | Marketing Management | 3-0-0 |
| Major | DSC 303 | Machine Learning for Business Analytics | 3-0-0 |
| Total Cr. Hrs. | 13 | ||
| Semester 7 | |||
| Major | DSC 404 | Big Data: Concepts, Techniques & Analytics (Python) | 3-1-3 |
| Major | MGT 407 | Change Management | 3-0-0 |
| Field Experience | INT 401 | Internship | 3-0-0 |
| Major | MGT 408 | Project Management | 3-0-0 |
| Total Cr. Hrs. | 13 | ||
| Semester 8 | |||
| Final Year Project | PRJ 401 | Final Year Experiential Project (FYEP) | 3-0-0 |
| Major | DSC 406 | Predictive Analytics | 3-0-0 |
| Major | MGT 609 | Strategic Business Policy | 3-0-0 |
| Major | DSC 505 | Data Warehousing & Business Intelligence (Power BI) | 3-1-3 |
| Total Cr. Hrs. | 13 | ||
| Total | 123 |
| Category | Code | Course Title | Cr. Hrs |
|---|---|---|---|
| Semester 1 | |||
| General Education | GE 1 | Functional English | 3-0-0 |
| General Education | GE 2 | Quantitative Reasoning 1- Business Mathematics | 3-0-0 |
| General Education | GE 3 | Islamic Studies | 2-0-0 |
| General Education | GE 5 | Applications of ICT | 2-1-0 |
| Major | CCS 101 | Programming Fundamentals | 3-1-3 |
| Interdisciplinary | PAD 101 | Introduction to Public Administration | 3-0-0 |
| Total Cr. Hrs. | 18 | ||
| Semester 2 | |||
| General Education | GE 6 | Expository Writing | 3-0-0 |
| General Education | GE 7 | Quantitative Reasoning 2- Probability and Statistics | 3-0-0 |
| General Education | GE 8 | Ideology & Constitution of Pakistan | 2-0-0 |
| General Education | GE 9 | Civics & Community Engagement | 2-0-0 |
| Major | MGT 101 | Principles of Management | 3-0-0 |
| Interdisciplinary | SOC 101 | Introduction to Social Work | 3-0-0 |
| Total Cr. Hrs. | 16 | ||
| Semester 3 | |||
| General Education | GE 4 | Social Sciences – Elective | 2-0-0 |
| General Education | GE10 | Natural Science Elective | 2-1-0 |
| General Education | GE 11 | Arts and Humanities Elective | 2-0-0 |
| General Education | GE 12 | Entrepreneurship, Innovation & Technology | 2-0-0 |
| Major | CCS 202 | Object Oriented Programming | 3-1-3 |
| Interdisciplinary | IRR 201 | International Relations | 3-0-0 |
| Total Cr. Hrs. | 16 | ||
| Semester 4 | |||
| Major | CCS 203 | Data Structures & Business Applications | 3-1-3 |
| Major | MKT 201 | Marketing Fundamentals | 3-0-0 |
| Major | ECO 201 | Microeconomics | 3-0-0 |
| Interdisciplinary | ACC 201 | Financial Accounting | 3-0-0 |
| Major | DSC 201 | Fundamentals of Business Analytics (MS Excel) | 3-1-3 |
| Total Cr. Hrs. | 17 | ||
| Semester 5 | |||
| Major | DSC 302 | Fundamentals of Web Analytics (Google Analytics) | 3-1-3 |
| Major | HRM 301 | HRM | 3-0-0 |
| Major | FIN 301 | Business Finance | 3-0-0 |
| Major | ECO 302 | Macroeconomics | 3-0-0 |
| Major | CCS 304 | Database Systems | 3-1-3 |
| Total Cr. Hrs. | 17 | ||
| Semester 6 | |||
| Major | ECO 303 | Basic Econometrics (R) | 3-1-3 |
| Major | MGT 304 | Research Methods | 3-0-0 |
| Major | MKT 302 | Marketing Management | 3-0-0 |
| Major | DSC 303 | Machine Learning for Business Analytics | 3-0-0 |
| Total Cr. Hrs. | 13 | ||
| Semester 7 | |||
| Major | DSC 404 | Big Data: Concepts, Techniques & Analytics (Python) | 3-1-3 |
| Major | MGT 407 | Change Management | 3-0-0 |
| Field Experience | INT 401 | Internship | 3-0-0 |
| Major | MGT 408 | Project Management | 3-0-0 |
| Total Cr. Hrs. | 13 | ||
| Semester 8 | |||
| Final Year Project | PRJ 401 | Final Year Experiential Project (FYEP) | 3-0-0 |
| Major | DSC 406 | Predictive Analytics | 3-0-0 |
| Major | MGT 609 | Strategic Business Policy | 3-0-0 |
| Major | DSC 505 | Data Warehousing & Business Intelligence (Power BI) | 3-1-3 |
| Total Cr. Hrs. | 13 | ||
| Total | 123 | ||
| Domain | Cr. Hrs |
| General Education | 30 |
| Disciplinary Major | 75 |
| Interdisciplinary | 12 |
| Field Experience | 3 |
| Final Year Project | 3 |
| Total | 123 |
| Domain | Cr. Hrs |
|---|---|
| General Education | 30 |
| Disciplinary Major | 75 |
| Interdisciplinary | 12 |
| Field Experience | 3 |
| Final Year Project | 3 |
| Total | 123 |