KLH BBA Admission 2026
The BBA Business Analytics programme at K L University follows a merit-based admission process. Admissions are conducted for the 2026-27 academic year with applications currently open. The selection is based on 10+2 marks and KLHAT entrance examination score. The university offers admissions across multiple campuses including Hyderabad, Vijayawada, and other locations. The admission process is transparent and follows the university's guidelines.
Important Dates
| Event | Date |
|---|
| Admission Registration Opens | Ongoing for 2026-27 AY |
| KLHAT Exam Dates | 28th to 31st March 2026 (Phase 3) |
| Last Date of Application Submission | 27th March 2026 |
| Merit List Declaration | April 2026 (Tentative) |
| Admission Confirmation | April-May 2026 (Tentative) |
| Course Commencement | July-August 2026 (Tentative) |
The dates mentioned above are tentative and subject to change.
Eligibility Criteria
- Passed 10+2 or equivalent examination with minimum 55% aggregate marks
- Qualification in KLHAT (KL Humanities Aptitude Test) entrance examination
- Indian citizens and foreign nationals as per university guidelines
- No age restriction for admission
- Eligible to apply from any stream (Science, Commerce, Arts)
Admission Process
- Register online on K L University admissions portal
- Fill the application form with required details
- Upload scanned copies of 10+2 certificates and identity proof
- Pay the application fee through online payment gateway
- Appear for KLHAT entrance examination
- Wait for merit list declaration
- Complete admission formalities upon selection
- Register at the selected campus
Course Curriculum
The BBA Business Analytics programme is structured across 6 semesters with comprehensive coverage of business and analytics disciplines:
Semester 1: Principles of Management, Business Accounting, Business Statistics, Business Law, Personality Development, French I, Excel for Business Applications
Semester 2: Marketing Management, Business Mathematics, Research Methodology, Basics of Cost Accounting, French II, Business Communication I, Health Education and Fitness
Semester 3: Business Environment, Managerial Economics, Financial Management, Human Resources Management, Business Communication II
Semester 4: Introduction to Business Analytics, Basics of R Programming, Management Accounting, Basics of SPSS
Semester 5: Business Information System, Consumer Relationship Management, Data Visualization, DBMS and SQL, Spreadsheet Modelling Using VBA
Semester 6: Production and Material Management, Business Intelligence and Data Mining, Predictive Analytics and Decision Making, Basics of Python, Major Project or Internship
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