BS Business Analytics
Programs Offered
Business Analytics is the conversion of data into business insights that facilitates the decision-making process in an organization. Harnessing the power of mathematical models, Business Analytics uses advanced tools and technologies to help each organization make the most of its data. The methods and models of analytics draw from disciplines including Computer Sciences, Operations Research, Statistics, Business Management, and others. BS (Business Analytics) program at Wah Business School is a blend of three key elements i.e. Computer Sciences, Business Management, and Statistics. The program's emphasis is on the development of all-rounded communications and soft skills, critical and analytical reasoning skills, and decision-making skills with strong programming and data-handling skills.
PROGRAM STRUCTURE
University of Wah as per the guidelines of HEC offers BS Business Analytics of 126 credit hours. Program Structure of BS Business Analytics program is as follows:-
| BS Business Analytics |
|---|
| Duration: 4 Yrs |
| Semesters: 8 |
| Total Credit Hours: 126 |
| General Education Credit Hours: 30 |
| Distribution Credit Hours: 12 |
| Major + Electives Credit Hours: 78 |
| Internship/FYP Credit Hours: 06 |
Career Tracks
The BS Business Analytics will pave a path for graduates to work for different industries at different positions such as business analysts, operations analysts, people analysts, financial analysts, and market or consumer analysts. Wah Business School Alumni have gone onto receive higher education from universities across the globe. Many are contributing as Academicians.
FEE STRUCTURE
| 1st Semester Fee | 2nd Semester Fee |
|---|---|
| 95,500 | 82,500 |
SCHOLARSHIPS / FINANCIAL SUPPORT
Scholarship — Undergraduate
a. UW provides fee waiver to the academically competent students at the time of admission as per following conditions:-
• Student with 90% & above marks in intermediate get 70% Fee Waiver on Tuition Fee.• Student with 80% & above marks in intermediate get 40% Fee Waiver on Tuition Fee.
• Student with 70% & above marks in intermediate get 15% Fee Waiver on Tuition Fee.
b. Merit Based Scholarship — Undergraduate
(1) Merit Scholarship will be based on entry session and not on section strength.(2) Minimum GPA for Merit scholarship will be as under:
| Position | CGPA |
|---|---|
| 1st | 3.65 |
| 2nd | 3.25 |
| 3rd |
ii. 2nd Position 50%
iii. 3rd Position 25%
c. Need Based Scholarship
The scholarships may be recommended by the Scholarship Committee in different brackets up to a maximum of 50% concession in the tuition fee after ascertaining the needs of the applicants. Minimum qualifying GPA for the scholarship will be 2.75 GPA (with No F & D grade).
d. Scholarship on Kinship Basis
• Two siblings: one of the students will get up to 50% waiver in tuition fee• Three siblings: one of the students will get up to 50% and the second up to 30% waiver in tuition fee
• Additional siblings: will be offered up to 20% waiver in tuition fee
• Minimum qualifying GPA for the scholarship will be 2.75 GPA (with No F & D grade)
e. Fee Waiver Wards of UW Employees
• Wards of Officers 30%• Wards of other staff : 50%
• Minimum qualifying GPA for the scholarships will be 2.75 GPA (with No F & D grade).
f. Fee Waiver Wards of POF Employees
• Wards of Officers 10%• Wards of Workers 15%
For further details, please visit: https://uow.edu.pk/admissions/Scholarships. All decisions taken by the University are final and the University reserves the right to amend its policies and procedures at any point in time during the programme.
ELIGIBILITY CRITERIA
BS Business Analytics program: 4 years (8 Semesters)
Eligibility Criteria: FA/F.Sc/I.Com/A-levels with at least 2nd Division (45%) or equivalent
SCHEME OF STUDY
First Semester
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
Course Type |
| GE-181 | Applications of Information and Communication Technologie | 3(2+1) | General Education |
| GE-141 | Communicative English | 3+0 | General Education |
| GE-171 | Ideology and Constitution of Pakistan | 3(2+1) | General Education |
| GE-151 | Quantitative Reasoning-I | 3+0 | General Education |
| MGT-111 | Principles of Management | 3+0 | Major |
| MGT-141 | Principles of Accounting | 3+0 | Major |
| Semester Total | 18(16+2) | ||
Second Semester
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
Course Type |
| GE-131 | Social Living | 3+0 | General Education |
| GE-142 | Composite Writing | 3+0 | General Education |
| GE-161 | Islamic Studies | 2+0 | General Education |
| GE-124 | Everyday Natural Science | 4(3+1) | General Education |
| PSY-101 | Introduction to Psychology | 3+0 | Distribution |
| MGT-121 | Principles of Marketing | 3+0 | Major |
| Semester Total | 18(17+1) | ||
Third Semester
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
Course Type |
| GE-111 | Society, Logic and Critical Thinking | 3+0 | General Education |
| GE-151 | Quantitative Reasoning-II | 3+0 | General Education |
| MGT-231 | Introduction to Business Finance | 3+0 | Major |
| MGT-262 | Programming Basics for Business Analytics | 3(2+1) | Major |
| MGT-263 | Mathematics for Machine Learning | 3(2+1) | Major |
| Semester Total | 15(13+2) | ||
Fourth Semester
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
Course Type |
| MGT-202 | Principles of Economics | 3+0 | Distribution |
| MGT-231 | Financial Management | 3+0 | Major |
| MGT-251 | Human Resource Management | 3+0 | Major |
| MGT-264 | Databases for Business | 3(2+1) | Major |
| MGT-266 | Data Mining and Analysis | 3(2+1) | Major |
| Semester Total | 15(13+2) | ||
FIFTH Semester
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
Course Type |
| PSY-101 | Pakistan Economy | 3+0 | Distribution |
| MGT-302 | International Relations | 3+0 | Distribution |
| MGT-361 | Deep Learning for Business-I | 3(2+1) | Major |
| MGT-362 | Artificial Intelligence and Ethics | 3(2+1) | Major |
| MGT-363 | Digital Marketing | 3(2+1) | Major |
| Semester Total | 15(12+3) | ||
SIXTH Semester
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
Course Type |
| MGT-311 | Production and Operations Management | 3+0 | Major |
| MGT-364 | Deep Learning for Business-II | 3+0 | Major |
| MGT-365 | Natural Language Processing (NLP) for Business | 3(2+1) | Major |
| MGT-3xx | Elective-I | 3(2+1) | Major/Elective |
| MGT-3xx | Elective-II | 3(2+1) | Major/Elective |
| Semester Total | 15(11+4) | ||
SEVENTH Semester
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
Course Type |
| MGT-461 | Business Data Analysis | 3(2+1) | General |
| MGT-4xx | Elective-III | 3(2+1) | Major/Special |
| MGT-4xx | Elective-IV | 3(2+1) | Major/Special |
| MGT-4xx | Elective-V | 3(2+1) | Major/Special |
| MGT-499* | Internship | 3+0 | |
| Semester Total | 15(11+4) | ||
EIGHTTH Semester
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
Course Type |
| MGT-411 | Enterprise Resource Planning | 3(2+1) | Major |
| MGT-4xx | Elective-VI | 3(2+1) | Major/Special |
| MGT-4xx | Elective-VII | 3(2+1) | Major/Special |
| MGT-4xx | Elective-VIII | 3(2+1) | Major/Special |
| MGT-499* | FYP/Case Study | 3+0 | |
| Semester Total | 15(11+4) | ||
*Note: MGT-499-Internship/FYP/Case Sturdy comprises of two components and is to be done in 6-8 Weeks. a) Internship equivalent is of 3 Credit Hours b) Final Year Project/Case study write-up is equivalent to 3 Credit Hours. Students have to take the internship during the summer after 6th Semester.
ELECTIVE COURSES
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
| MGT-361 | Predictive Analytics | 3(2+1) |
| MGT-362 | Advanced Pricing Analytics | 3(2+1) |
| MGT-363 | Business Analytics in Finance | 3(2+1) |
| MGT-364 | Business Analytics in HR | 3(2+1) |
| MGT-365 | Business Analytics in Marketing | 3(2+1) |
| MGT-366 | System Analysis and Design | 3(2+1) |
| MGT-461 | Simulation Techniques for Business | 3(2+1) |
ELECTIVE COURSES
| Course Code | Course Title | Credit Hours
( Th + Lab ) |
| MGT-462 | Advanced Power Business Intelligence and Tableau | 3(2+1) |
| MGT-463 | Business Analytics for Supply Chain | 3(2+1) |
| MGT-464* | Concepts and Practice of DSS Modelling | 3(2+1) |
| MGT-465 | Block Chain Management | 3(2+1) |
| MGT-466 | Advanced Econometrics & Forecasting | 3(2+1) |
| MGT-467 | Accounting Analytics | 3(2+1) |