BS Mathematics with Data Analytics
Our university offers a comprehensive range of academic programs designed to inspire learning, innovation and real-world impact Each program is carefully crafted to blend theoretical knowledge with practical experience ensuring students gain the skills needed to excel in today’s competitive global environment From foundational undergraduate courses to advanced postgraduate and professional degrees our curriculum emphasizes critical thinking hands-on learning, and industry relevance With guidance from experienced faculty access to modern laboratories and opportunities for research and internships students are empowered.
Program Highlight
About Programs
Mathematics provides the deep analytical foundation that makes data analytics more accurate, reliable, and powerful for real-world decision-making. Mathematics helps you understand data deeply, so you don’t just use tools; you know what the results really mean. The BS Mathematics with Data Analytics programme combines mathematical principles, statistical methods, and modern data analysis techniques to develop strong analytical and problem-solving skills. Students learn to interpret complex data, identify meaningful patterns, and apply mathematical models to real-world challenges, preparing them for careers in data analytics, research, finance, technology, and related fields.
Eligibilty
- Intermediate (FSc/ICS) with Mathematics – Minimum 45% marks
- Pre-Medical students – eligible with bridging mathematics courses
- DAE (Engineering) – Minimum 60% marks
- ADP (Science) – Direct entry in 5th semester (with bridging semester)
Merit / Selection Criteria
- Academic Qualification: 60%
- Test / Interview: 40%
Admissions Requirements
1. Academic Qualifications
- Completed secondary education (HSSC/A-Level/Equivalent).
- Minimum GPA/grade requirements as set by the university for that program
- For graduate programs: a recognized bachelor’s degree with required CGPA.
3. English Language Proficiency (International Students)
- TOEFL, IELTS, PTE, or equivalent test score
- University-approved English placement test (if applicable)
5. Additional Requirements (Program-Specific)
- Portfolio (Architecture, Design, Fine Arts)
- Coding/technical assessment (Computer Science, IT)
- Work experience (MBA, Professional Degrees)
- Research proposal (Master’s/PhD)
7. Visa Requirements (International Students)
- Valid passport
- Offer letter from the university
- Financial sponsorship documents
- Medical clearance (if applicable)
2. Academic Documents
- Completed application form
- Academic transcripts & certificates
- National ID/Passport
- Recent passport-sized photographs
4. Entrance Exam / Interview
- Some programs require an entrance exam or aptitude test
- Higher Education Aptitude Test (HAT) for graduate admissions
6. Financial Requirements
- Payment of application fee
- Proof of ability to cover tuition and living costs (for international students)
