Master of Science (Business Analytics)
The MS BA program aims to develop problem solving skills among the students through an in-depth understanding of business analytics. This program develops unique skills in the students to analyze, synthesize and visually present data related to numerous fields of management sciences i.e., marketing, management, HR, operations and finance. The graduates of the MS BA program will be equipped with in-demand skills and knowledge required for success in their professional careers. The program is a designed in a way that students with no background in business studies may also take admission in this program. However, depending on the undergraduate degree, student will be required to study deficiency courses.
The key learning outcomes of the MS BA program are to enable our graduates:
- To demonstrate enhanced understanding of statistical and non-statistical methodologies including regression analysis, cluster analysis, non-linear models, text analysis and prescriptive and predictive modelling, and develop skills to visually present data
- To have expertise in using various statistical software packages e.g., R, STATA, Python and SPSS.
- To exhibit effective collaboration and leadership skills.
- To have knowledge of the ethical and legal issues in data gathering, analysis and make ethically and culturally informed decisions in structured or unstructured and ambiguous situations.
- To communicate technical information to both technical and non-technical audiences in speech, in writing and graphically.
- To critically analyze, synthesize and solve complex unstructured business problems and encourage an aptitude for business improvement, innovation and entrepreneurial action.
An MS BA program can significantly expand the graduates’ career opportunities and increase their salary-earning potential. The graduates of MS BA can find a number of pathways to choose from, such as business analytics consultants, operations analysts, people analysts, financial analysts, and market or consumer analysts.
Award of Degree
For the award of MS (Business Analytics) degree, a student must have:
- Passed courses totalling at least 34 credit hours, including all those courses which have been specified as Core courses.
- Obtained a CGPA of at least 2.50
Offered Campuses
| Chiniot-Faisalabad | Islamabad | Karachi | Lahore | Peshawar |
|---|---|---|---|---|
Eligibility:
- A degree earned from a recognized university after 16 years of education with at least 60% marks or a CGPA of at least 2.0 (on a scale of 4.0).
Selection Criteria:
- Past Academic Record (Masters and/or Bachelor Degree) 50%
- Performance in NU Subject Admission Test and Interview 50%
For Business graduate
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | CS4089 Programming for Business Applications | 3+0 |
| 2 | MG5011 Advanced Research Methods | 3+0 |
| 3 | BA5005 Applied Calculus for Business | 3+0 |
| 4 | CS5059 Database Systems | 3+0 |
| Total | 12 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | BA5001 Inferential Statistics and Descriptive Modelling | 3+0 |
| 2 | MG5047 Decision Science for Business | 3+0 |
| 3 | MG5055 Ethics in Business Analytics | 3+0 |
| Total | 9 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | BA5004 Machine Learning Models for Business Analytics | 3+1 |
| 2 | MG5050 Econometrics | 3+0 |
| 3 | BA5xxx Elective – I | 3+0 |
| 4 | BA5xxx/BA5094 Elective-II/MS Dissertation-I | 3+0 |
| Total | 13 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | BA5002 Data Driven Decision Making and Optimization | 3+0 |
| 2 | BA5xxx Elective – III | 3+0 |
| 3 | BA5090/BA5095 MS Project/MS Dissertation-II | 3+0 |
| Total | 9 | |
For Non-Business graduate
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 1 |
||
| 1 | AF4010 Accounting and Finance for Managers* | 3+0 |
| 2 | MG4005 Business Economics for Managers* | 3+0 |
| 3 | MG4006 Management & Organizational Behaviour* | 3+0 |
| 4 | MG5011 Advanced Research Methods | 3+0 |
| Total | 12 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 2 |
||
| 1 | BA5001 Inferential Statistics & Descriptive Modelling | 3+0 |
| 2 | MG5047 Decision Science for Business | 3+0 |
| 3 | MG5055 Ethics in Business Analytics | 3+0 |
| Total | 9 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 3 |
||
| 1 | BA5004 Machine Learning Models for Business Analytics | 3+1 |
| 2 | MG5050 Econometrics | 3+0 |
| 3 | BA5xxx Elective – I | 3+0 |
| 4 | BA5xxx/BA5094 Elective-II/MS Dissertation-I | 3+0 |
| Total | 13 | |
| Sr. No | Course Name | Crdt Hrs. |
|---|---|---|
Semester 4 |
||
| 1 | BA5002 Data Driven Decision Making and Optimization | 3+0 |
| 2 | BA5xxx Elective – III | 3+0 |
| 3 | BA5090/BA5095 MS Project/MS Dissertation-II | 3+0 |
| Total | 9 | |
*May be exempted for graduates with an undergraduate degree in the areas specified in the eligibility criteria.
Note 1: Registration in “MS Thesis - I” is allowed provided the student has:
- 30 credits (including exemptions)
- Passed the “Advanced Research Methods” course
- CGPA is equal to or more than 2.5