Empower your professional journey with our industry-aligned MBA program. Gain expertise in Analytics and data science through flexible learning and expert mentorship.
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The MBA in Analytics and Data Science at Manipal University is a postgraduate program designed to equip students with the skills and knowledge required to excel in the field of data-driven decision-making. With a strong focus on analytics and data science, this program aims to produce professionals who can effectively analyze and interpret complex data to drive business growth. The program's online mode allows working professionals and students from across the globe to pursue this specialization without compromising on their existing commitments.
The MBA in Analytics and Data Science program at Manipal University is a comprehensive four-semester online program that covers a wide range of topics, including data analysis, machine learning, statistical modeling, and data visualization. The program is designed to provide students with a deep understanding of the concepts and tools used in data science, as well as the ability to apply this knowledge in real-world business scenarios. Upon completion of the program, students will be equipped with the skills and knowledge required to drive business growth through data-driven decision-making, and will be prepared to take on leadership roles in the field of analytics and data science.
Investment details for MBA at Manipal University
Discover the advantages of pursuing this specialization at Manipal University
The MBA in Analytics and Data Science at Manipal University offers several key benefits, including career growth potential, high demand for skilled professionals, and the opportunity to work in a wide range of industries. This specialization is valuable because it provides students with the skills and knowledge required to drive business growth through data-driven decision-making, and prepares them for leadership roles in the field of analytics and data science.
Curriculum designed with industry standards and requirements
Strong placement support and career advancement opportunities
Online mode with flexible schedules for working professionals
Learn from experienced professionals and academic experts
Explore earning potential and career progression in MBA - Analytics and data science
The field of analytics and data science is experiencing rapid growth in India and globally, with a high demand for skilled professionals who can analyze and interpret complex data. According to market trends, the average salary for analytics and data science professionals in India ranges from ₹3 lakhs per annum for entry-level positions to ₹20 lakhs per annum for senior-level positions.
Advanced degrees and professional certifications can increase earning potential by 20-40%
MNCs and established companies typically offer 30-50% higher compensation packages
Metro cities like Mumbai, Delhi, Bangalore offer 25-35% higher salaries than tier-2 cities
Specialized skills and relevant experience significantly impact salary negotiations
Explore diverse career paths available after completing MBA in Analytics and data science
Start as an executive or junior professional, learn fundamentals and gain practical experience
Progress to managerial roles, lead teams and projects, develop specialized expertise
Take on leadership positions, strategic planning, and organizational decision-making
MNCs, startups, and established companies across various industries
Schools, colleges, universities, and educational technology companies
Public sector organizations, government agencies, and policy institutions
IT companies, software development, digital platforms, and tech startups
Publishing, journalism, advertising, public relations, and content creation
NGOs, social organizations, research institutions, and community development
Leading companies that actively recruit MBA - Analytics and data science graduates
The top recruiters for this program include leading companies in the fields of finance, healthcare, technology, and consulting. These companies are looking for skilled professionals who can analyze and interpret complex data to drive business growth.
Comprehensive Semester-wise curriculum for MBA in Analytics and data science
The program is structured into 4 semesters with comprehensive coverage of core and elective subjects
Develop comprehensive understanding of core concepts and theoretical frameworks
Enhance analytical and problem-solving skills through practical applications
Acquire industry-relevant skills and competencies for career advancement
Develop effective written and verbal communication skills
Check if you meet the requirements for MBA in Analytics and data science at Manipal University
The eligibility criteria for this program include a bachelor's degree in any discipline with a minimum of 50% marks, and a valid score in a management entrance exam such as CAT, MAT, or GMAT.
The target audience for this program includes fresh graduates and working professionals looking to upskill or transition into the field of analytics and data science. This program is ideal for individuals who have a strong foundation in mathematics and statistics, and are looking to develop their skills in data analysis and interpretation.
Fill out the online application form with your personal and academic details
Upload required documents for verification by the admissions team
Pay the admission fee to confirm your seat in the program
Complete the enrollment process and begin your academic journey
Get answers to common questions about MBA in Analytics and data science at Manipal University
The program is of 4 semesters duration, which is approximately 2 years.
The eligibility criteria include a bachelor's degree in any discipline with a minimum of 50% marks, and a valid score in a management entrance exam such as CAT, MAT, or GMAT.
The career opportunities after completing this program include roles such as Data Analyst, Business Analyst, Data Scientist, Machine Learning Engineer, and more.
Our education counselors are here to help you make the right decision for your career.