KL University Online MBA Data Science
- AICTE-approved programs
- Hybrid learning options
- Industry mentorship support
- High placement packages
- Research-driven curriculum
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KL University
About Online MBA in Data Science From KL University
Data is now one of the most valuable assets for modern organisations, aiding businesses to improve customer experiences, optimise operations and make informed decisions.
The KL Online MBA program in Data Science is meant for people who want to integrate their business management knowledge and analytical abilities into decision-making processes.
This course will cover topics such as business analytics, basics of machine learning, data visualization, predictive modelling, artificial intelligence applications, and statistics. Students will be taught how to analyze the data of the business and create plans for growth in the organization.
The learning is done through online interactive classes, business cases, analytics assignments and tasks. This kind of learning process gives individuals the opportunity to learn specific knowledge in the midst of their studies and work.
Approvals
KL University offers an online MBA program that adheres to the accepted academic standards and encourages industry-oriented learning.
- UGC-entitled online MBA programme
- NAAC-accredited university
- Industry-oriented curriculum
- Experienced faculty members
- Digital learning platform
- Degree accepted for employment and higher education
These awards offer graduates a credible qualification which is recognised in a wide range of industries.
Fees
The KL University online MBA Data Science fees are kept affordable to give access to specialised management education.
|
Fee Component |
Approximate Amount |
|
Tuition Fee (Per Semester) |
₹29,000 – ₹40,000 |
|
Total Programme Fee |
₹1,18,000 – ₹1,60,000 |
|
Registration Fee |
₹1,500 |
|
Examination Fee |
As per university guidelines |
|
Payment Mode |
Online / Semester-wise / EMI |
Students can opt for flexible installment plans for easy fee payment.
Who Can Apply | Eligibility
The KL online MBA in Data Science eligibility criteria is best suited to graduates who want to take up a career in business analytics and emerging technologies.
- Bachelor’s degree from a recognised university
- Any graduate of any academic stream is accepted
- Fresh graduates and working professionals can apply
- Basic analytical and computer skills are an asset
- Interest in data analysis and business management is required
The programme is appropriate for those learners looking for careers in analytics, technology, consulting and business intelligence.
Admission Process
The admission process of online MBA in Data Science from KL University is digital and hassle-free.
- Visit the official university admission portal
- Complete the online application form
- Upload Educational & ID Documents
- Submit application or admission fee online
- Get confirmation of admission and begin online classes
Students can take admission from anywhere without visiting the university campus.
Syllabus / Curriculum
KU Online University MBA in Data Science syllabus blends advanced analytical concepts and business management.
|
Semester |
Subjects Covered |
|
Semester 1 |
Principles of Management, Business Statistics, Financial Accounting |
|
Semester 2 |
Business Analytics, Data Mining, Marketing Management |
|
Semester 3 |
Machine Learning, Predictive Analytics, Data Visualisation |
|
Semester 4 |
Artificial Intelligence for Business, Big Data Analytics, Project Work |
Additionally, the curriculum consists of projects in analytics, business cases, programming, dashboarding, and data analysis/research. Through these pedagogical tools, students will be able to enhance their abilities in analytical reasoning, business problem solving, and strategic decision making.
Placement / Jobs
Individuals who complete their Placement after an online MBA in Data Science from KL University will be able to get placed in companies that make use of data for strategic decision-making and business development.
Possible career options include Data Analyst, Business Intelligence Analyst, Data Consultant, Analytics Manager, Market Research Analyst, Data Strategy Executive, Product Analyst, and Business Analytics Consultant.
The candidates may get placements in IT firms, banks, healthcare institutions, e-commerce firms, consultancy firms, telecommunications, and multinationals. Career guidance, practical analytics projects and professional development activities help students to be industry-ready.
Conclusion
The combination of management studies along with the knowledge and skills of advanced analysis enables students to gain experience for data-driven business scenarios.
Business Strategy, Analytics, Artificial Intelligence, and practical learning enable students to build their expertise.
The hands-on approach benefits them by assisting them in decision-making and problem solving through the assistance of professional faculty.
This enables graduates to be prepared for their career in domains such as analytics, consulting, finance, and technology.
Frequently Asked Questions
Yes, students get to understand the basic AI applications used in business and analytics.
No, eligible applicants are not required to have programming experience.
Yes, graduates can pursue different roles in analytics, business intelligence and consulting.
Yes, students do analytics projects, case studies and business data interpretation assignments.
Qualified graduates are actively sought after by technology, finance, healthcare, retail, consulting, manufacturing and e-commerce firms.
Other mba Online Related Programs Spacialization Offered at KL University Online
HR Management
Marketing Management
Finance Management
Logistics and Supply Chain Management
Digital Marketing
Data Science
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Updated Industry-Focused Curriculum:
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