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    MBA in Data Analytics

    MBA in Data Analytics Overview

    Companies all around the world have finally realised that generating value from data is no longer a competitive advantage, but rather a need. Data Analytics and Science have developed as fresh ideas in technology-driven enterprises because data is vital to the running and growth of an organisation. According to current trends, the field is predicted to increase dramatically in the future, which is why many hopefuls are betting on it and choosing it as a career path. When it comes to studying the managerial side of the industry, no other degree compares to an MBA. MBA in Data Analytics teaches management skills and data knowledge.

    In a nutshell, it is a two-year postgraduate MBA programme that provides training and knowledge of critical managerial abilities needed to streamline the data process. The MBA in Data Analytics programme prepares students for positions in consumer goods and services functions, as well as a grasp of the industry's special difficulties, enabling a speedier ascent up the career ladder. Students will also gain a thorough understanding of data science and data analytics principles through the MBA in Data Analytics curriculum. The programme includes themes such as business communication, business skills development, applied operations research, and others.

    Admission to this MBA programme, like any other, is based on the candidates' previous academic record and performance, as well as qualifying scores from university-accepted entrance tests such as the CAT, XAT, MAT, NMAT, SNAP, and others.

    IIMs, IITs, Great Lakes in Chennai, Madras University, Narsee Monjee Institute of Management Studies, and others are among the top MBA in Data Analytics colleges in India. Candidates often spend anything between INR 3 lakhs and INR 27 lakhs for the programme.

    Graduates can work as Data Analysts, Business Analysts, Information Architects, Product Managers, Data Scientists, Data Engineers, Data Analytics Managers, Research Analysts, System Analysts, and other professionals. Graduates can expect to start with an annual salary of INR 5-15 lakhs, which will definitely rise and potentially reach INR 40 lakhs as their experience grows. Here is everything to know more about the MBA in Data Analytics programme and what it comprises.

    MBA in Data Analytics Highlights

    Here is a quick rundown of some of the most important features and facts about MBA in Data Analytics courses:

    Course MBA in Data Analytics 
    Full Form Master of Business Administration in Data Analytics
    Degree LevelPostgraduate/Master’s
    Duration 
    • Full Time: 2 years 
    • Part Time: 2-3 years 
    • Distance Learning: 2 years 
    • Online: 2 years 
    Exam Type Semester-based 
    Minimum Qualification RequirementCandidates should have completed graduation in a similar discipline from a recognised university with 50% or above marks. All the candidates need to clear an entrance exam (like CAT) with an excellent score to get admission.
    Average Starting Salary INR 6-31 lakhs per annum 
    Average Fees Incurred INR 5 to 25 lakhs 
    Selection Process Entrance test + Merit-based 
    Popular Entrance Exams 
    • CAT
    • MAT
    • XAT
    • TANCET
    • UPSEE
    • CMAT
    • ATMA
    • SNAP
    • TISS EE
    • NMAT
    • GMAT
    Minimum Aggregate Percentage Required for Admission 50%-60% in bachelor’s degree
    Top Recruiters 
    • Wipro Technologies
    • HCL Technologies
    • Mahindra Satyam
    • Deloitte
    • PayPal
    • Dell
    • Infosys
    • Cognizant Technology Solutions (CTS)
    Career Prospects 
    • Data Analyst
    • Information Architect
    • Product Manager
    • Data Scientist
    • Data Engineering
    • Business Analyst
    • Data Analytics Manager
    • Senior Data Scientist
    • Analytics Manager
    • Research Analyst
    • System Analyst

    Why Study an MBA in Data Analytics Course?

    In this information age, the internet has made it simple for everyone to obtain information whenever and wherever they require it. Here are five reasons why a job in data analytics is the next big thing. You must research trends if you want to succeed in this digital age that is transforming society into a knowledge-based civilization. From multinational corporations (MNCs) to start-ups, everyone relies on data to develop better strategies for their businesses' future. Imagine yourself as the individual on whom these companies rely before making any major business decisions. That is why you should major in data science and big data analytics.

    Here are some compelling reasons to study and pursue an MBA in Data Analytics.

    • Data Analytics is Important for Top Organisations: The flood of data is reshaping enterprises. Companies of all sizes are now expecting data-driven insight to inform their business decisions. Data specialists have a significant impact on business strategies and marketing approaches.
    • Job Prospects are Increasing: The Science and Technology Committee produced this research, noting that 58,000 jobs might be generated and £216 billion contributed to the global economy (2.3% of GDP) by 2022. The need for data specialists is increasing while the supply remains limited, generating excellent work prospects for those in this industry. Today, it is nearly hard to find a brand that does not have a social media presence; eventually, every firm will require data analytics people.
    • Helps in Informed and Improved Decision Making: Companies are better positioned to produce accurate forecasts when big data is combined with artificial intelligence, machine learning, and data mining. Predictive analytics, for example, can forecast what might happen in reaction to changes in the business, whereas prescriptive analytics might recommend how the organisation should respond to these changes. Furthermore, organisations can utilise data analytics tools to measure the success of changes and visualise the results, allowing decision-makers to select whether to implement the changes across the organisation.
    • More Successful Marketing: What distinguishes firms is the distinct strategy they take to marketing their products. Companies can use data analytics to pinpoint exactly what their customers want. Data allows organisations to do in-depth analyses of customer trends, which they can then use to produce profitable, focused, and targeted marketing.
    • Better and More Personalised Customer Experience: Customers expect firms to know them, form relevant conversations, and give a seamless experience across all touchpoints after giving their data. Only modern analytics makes it feasible to respond in real time and make the customer feel appreciated. Data enables interactions to be adjusted to the customer's personality, assisting in the understanding of their sentiments and delivering personalization in a multi-channel service environment.
    • Streamline Operations: MBA in Data Analytics graduates can help businesses uncover potential methods to streamline procedures and increase revenue. It aids in recognising possible problems and preventing them from occurring. This enables businesses to determine which operations delivered the best overall results under various conditions.
    • Become Rock Stars of the Digital World: Since the job of a data analyst is unlike any other in the business world. As a result, the status of a data analyst is comparable to that of a rock star. Competent training in data analytics will transform you into an organisational magician, and you will be spinning insights by toying with large data. Thus, it is all about living up to and remaining true to the expectations that others have placed on you. Data does not lie, but it takes top data analysts abilities to uncover the harsh facts and set a business on the royal route to success.

    Types of MBA in Data Analytics Courses

    MBA programmes are often meant to improve your workplace experience by providing advanced topic knowledge and skill development. The type of MBA in Data Analytics programme you eventually choose is determined by your job goals, the amount of experience you have, and the amount of time you have to devote to your degree. Let us go over the many MBA degrees available to you:

    • Full-Time MBA in Data Analytics: Full-time MBA programmes are divided into two categories: one-year and two-year programmes. Whatever path you pick, you will be expected to attend classes full-time and not work while obtaining your degree. A two-year MBA in Data Analytics programme gives a more thorough education that is ideal if you want to expand your business knowledge, choose an area to specialise in, and potentially complete an internship near the end of your studies. A one-year MBA in Data Analytics programme, on the other hand, provides an accelerated timeline that allows you to graduate in less time. They are typically suitable for those with greater professional experience, a bachelor's degree in business, and the completion of specified prerequisite courses.
    • Part-Time MBA in Data Analytics: part-time MBA is a traditional MBA degree that does not necessitate taking time away from work. It is typically a more flexible curriculum intended for professionals with other responsibilities who want to further their business knowledge. Part-time MBAs are classified into two types: lockstep and self-paced. Lockstep is enrolling with a specific group of students (a cohort), whereas self-paced entails completing classes on a more flexible schedule.
    • Online MBA in Data Analytics: An online MBA, like a part-time MBA, provides additional flexibility. There is no need to relocate, and you may finish classes on your computer. Both of these criteria frequently imply that you can continue working while pursuing your degree. Furthermore, you do not have to forego engagement with an online MBA. Many programmes are designed to promote virtual networking, peer-to-peer involvement, and other activities. Online MBAs can also be less expensive than on-campus MBAs.
    • Executive MBA in Data Analytics: An Executive MBA (EMBA) programme is designed for professionals with 10 to 15 years of experience. They are intended to assist you to advance your professional career, often to the executive level, by expanding on your existing knowledge. EMBAs also allow you to work while pursuing your degree. EMBA programmes typically operate on part-time schedules, such as weekend classes, and allow you to complete your degree faster than regular part-time MBA programmes. Unlike full-time MBA students, who have summers off, you will most likely continue your education all year.
    • Global MBA in Data Analytics: Business is becoming increasingly global. Enrolling in a global MBA programme can provide you with more networking possibilities and opportunities to discuss and exchange knowledge with people all over the world, which can help you create professional relationships and broaden your potential reach as a global business professional.

    MBA in Data Analytics Eligibility Criteria

    Enrollment or admission into an MBA in Data Analytics programme in India has varying prerequisites based on the eligibility criteria of various universities. Individuals with a bachelor's degree who wish to pursue their higher education can enrol in MBA in Data Analytics programmes at a variety of management schools. The generic eligibility criteria that aspirants have to fulfil are mentioned below:

    • MBA in Data Analytics requires a bachelor's degree in a relevant field of study with some mandatory subjects too. This course is designed for students with a bachelor's degree in business administration who want to pursue an MBA in Data Analytics.
    • To be admitted to the MBA Data Analytics degree programme, candidates must pass any one of the entrance exams like CAT, XAT, MAT, etc, which is accepted by the chosen university.
    • Candidates must also have to pursue and pass personal interviews and group discussions to prove their candidature for an MBA in Data Analytics programme.

    Entrance Exams for MBA in Data Analytics

    All the colleges providing admission into the MBA in Data Analytics will sort candidates on the basis of their grades in the entrance exam. There are many entrance tests conducted for MBA/ PGDM Admission in the country. Applicants can check out the type of colleges that accept the scores of these entrance tests provided below.

    Exam

    Type of Colleges

    XAT

    XLRI and other associated B schools

    SNAP

    Symbiosis International University & its associates

    NMAT

    NMIMS all campuses

    MAT

    Institutes under AIMA

    CMAT

    B schools approved by AICTE

    CAT

    IIMs, Most of the top league B-schools

    Candidates need to score a decent percentile in the entrance exam to get more placement chances. Before that, they will be further sorted in the personal interview and selection process before getting a seat.

    How to Get Admission to MBA in Data Analytics in India?

    Many students look for the best MBA in Data Analytics admission process to advance their MBA application. This degree provides students with a competitive advantage in their careers. MBA education is essential for practically all employers since it allows them to learn about running their businesses. India is on a path of continual advancement, and with it, there will be great growth in the future for MBA in Data Analytics specialists. As a result, students should be aware that top-tier business schools in India employ a tough screening process to choose the best applicants. A basic admission procedure is provided below to assist students interested in pursuing an MBA in Data Analytics degree in India:

    Step 1: Register and Apply for MBA Entrance Exams

    MBA in Data Analytics admission at top MBA schools in India begins in the first week of August/September and finishes in the last week of November. During the registration window, candidates seeking admission to top MBA programmes should register and apply for the relevant MBA entrance exams, such as CAT/XAT/NMAT/MAT/SNAP/GMAT. The registration period for most national-level MBA entrance exams, such as the CAT and XAT, closes in September and November, respectively.

    Step 2: Take the MBA Entrance Exams and Wait for the Results

    Those who want to study a management course PGDM/MBA programme specialised in Data Analytics from top MBA institutions in India must take the CAT, XAT, NMAT, or any appropriate entrance test accepted by their target colleges and business schools offering MBA in Data Analytics.

    Step 3: The Selection Procedure

    Following the announcement of MBA exam results in January, most top business schools will shortlist qualified candidates for the final admission round based on exam scores, academics, diversity, work experience, and other parameters as determined by the respective B-school admission policy and weightages. The process is completed independently by each business school or institution.

    Step 4: Complete the Final Admissions Round - GD-PI-WAT

    All candidates who have been shortlisted will be asked to take part in a Group Discussion (GD)Written Ability Test (WAT), and Personal Interview (PI). Some B-schools also conduct GD and Extempore before the PI round, whereas others do GD-PI. Psychometric examinations are also given to students at several colleges. The final merit list will be created, and admission offers for the MBA FinTech programme will be issued based on their performance in the final selection round, the weightage given to entrance scores, academic profile and diversity, work experience, and gender diversity.

    Related Reads:

    Tips to Ace a Personal InterviewWAT Tips - How to Crack WAT for IIM Admission
    GD, PI and WAT Preparation Tips for CAT6 Types of People You Will Find in a Group Discussion

    Popular MBA in Data Analytics Colleges Abroad

    The following are some world-class universities where students and aspirants can pursue MBA in Data Analytics or relatable degree programmes abroad:

    Name of the University/CollegeLocation 
    University of Rochester – Georgen Institute for Data ScienceUnited States 
    University of Maryland University CollegeUnited States 
    Carnegie Mellon UniversityUnited States 
    University of WashingtonUnited States 
    UCL School of ManagementUnited Kingdom 
    Arden UniversityUnited Kingdom 
    London School of Business & FinanceUnited Kingdom 
    University of BedfordshireUnited Kingdom 
    Anglia Ruskin UniversityUnited Kingdom 
    McGill UniversityCanada 
    University of British ColumbiaCanada 
    Simon Fraser UniversityCanada 
    Carleton UniversityCanada 
    University of WaterlooCanada 
    Australian National UniversityAustralia 
    University of SydneyAustralia 
    Western Sydney UniversityAustralia 
    University of MelbourneAustralia 
    La Trobe UniversityAustralia 
    Monash UniversityAustralia 

    What is the MBA in Data Analytics Course Fee?

    The cost of an MBA in Data Analytics course in India is determined by a variety of criteria, including the type of university (whether public or private), the duration of the programme, location, course content, rating, reputation/goodwill, and more. The following graph represents the estimated yearly average fees for MBA in Data Analytics programmes at some of India's most prestigious institutes: 

    Name of the College/Institute Average Estimated Course Fees in INR 
    Indian Institute of Information Technology (IIT)INR 5 lakhs 
    Indian Institute of Information Technology (IIT)INR 5 lakhs 
    Indian Institute of Management (IIM)INR 20 lakhs 
    Indian Institute of Management (IIM)INR 20 lakhs 
    Narsee Monjee Institute of Management StudiesINR 10-15 lakhs 
    Narsee Monjee Institute of Management StudiesINR 10-15 lakhs 
    Symbiosis Centre for Information Technology INR 13.8-15 lakhs 
    Indian Institute of Information Technology and Management – KeralaINR 2-5 lakhs 
    Amity University INR 12-15 lakhs 
    S. P. Jain Institute of Management and ResearchINR 16-20 lakhs 
    JECRC UniversityINR 4 lakhs 
    Centurion University of Technology and ManagementINR 1-3 lakhs 
    Subharti University INR 2-4 lakhs 
    IILM UniversityINR 8-10 lakhs 
    Goa Institute of ManagementINR 11-13 lakhs 
    SRM School of ManagementINR 7.8 lakhs 
    SRM School of ManagementINR 3.6-5 lakhs 
    Jain UniversityINR 10-15 lakhs 
    Vishwakarma UniversityINR 5 lakhs 

    MBA in Data Analytics Syllabus

    Semester wise break up of MBA in Data Analytics Syllabus is provided below.

    Semester 1

    SI No

    Subjects

    1

    Accounting for Managers

    2

    Applied Statistics for Decision Making

    3

    Financial Analysis and Reporting

    4

    Macroeconomics in the Global Economy

    5

    Organizational Behavior

    6

    Research Methodology

    Semester 2

    SI No

    Subjects

    1

    Applied Operations Research

    2

    Data Cleaning, Normalization and Data Mining

    3

    Econometrics

    4

    Foundation course in Business Analytics

    5

    Project Management

    6

    Spreadsheet Modeling

    Semester 3

    SI No

    Subjects

    1

    Applied Business Analytics

    2

    Foundation Course in Descriptive Analysis

    3

    Foundation Course on Predictive Analysis

    4

    SAP FICO

    5

    SAP HCM

    6

    Stochastic Modeling

    Semester 4

    SI No

    Subjects

    1

    Ethical and Legal Aspects of Analytics

    2

    Healthcare Analytics

    3

    HR Analytics

    4

    Project Work

    5

    R Programming

    6

    Social and Web Analytics

    MBA in Data Analytics Scope in India – Higher Studies, Career and Job Prospects

    The amount of data available to us is continually expanding, and making sense of this data to derive useful insights and interpretations has become increasingly vital. This is where data analytics comes into play. Data analytics is the study of big data using analytics, statistics, predictive analytics, and other optimization tools and approaches to communicate insights to relevant stakeholders. Data analysts can assist a company in making critical decisions such as cost minimization, customer happiness, and profit growth.

    Future Scope 

    the future scope of the MBA in Data Analytics programme is highly promising:

    • After finishing the MBA in Data Analytics course, students might pursue further study.
    • MBA in Data Analytics graduates can pursue an M.Phil or a dual Master of Philosophy programme in relevant fields. It will help students get a better awareness of the numerous difficulties relating to their subject of interest, as well as improve career chances with a reasonable salary.
    • A student may choose to pursue a PhD in Data Analytics or a similar area after completing their MBA in Data Analytics. Taking this course will improve job research abilities and lead to better positions as well as research chances with higher income and experience.
    • MBA in Data Analytics students may also apply for numerous civil service posts through the Union Public Service Commission (UPSC), state PSCs, and the Staff Selection Commission (SSC), as well as many other government competitive tests.

    Job Prospects and Career Opportunities 

    Most people do not associate the terms data analyst or data engineer with magicians, although that is exactly what a data analyst does. You may seriously develop a career of your choice within the subject of Data Analyst because it is a large domain with several specialities depending on your core talents and hobbies. The following are some of the most interesting data analyst fields that are attracting a lot of interest.

    Job ProfileJob Description

    Marketing Analyst


     

    A marketing analyst is in high demand in today's world, as almost all marketing is a digital marketing and data-driven decisions must be made at all times. So, effectively, a marketing analyst is tasked with restoring order to the marketing domain. He makes decisions about which platforms to use for marketing initiatives, what the budget should be, geographic and demographic targeting, campaign duration, reading marketing reports, what the return on investment through each channel is, flagging non-performing marketing initiatives, and looking for newer avenues and opportunities to improve sales and revenue for any organisation on an ongoing basis.
    Financial AnalystA financial analyst is a financial outlier. He works with money-related data. Obtaining a high-level picture of how the finances are working, how to reduce costs and enhance the bottom line, what the proper pricing is for a specific purchase, searching for hidden gems that can help an organisation perform better, and so on. In a nutshell, he deciphers and comprehends an organization's financial status like the back of his hand.
    Sales AnalystAny company's ultimate goal is to make money. So Sales Analysts are critical for every firm attempting to break the sales code. A sales analyst will assess any organization's sales strategy and forecast the best course of action for increasing sales. He must sift through sales numbers to see whether something can be done at a cheaper cost, enhance the way the sales cycle unfolds, and optimise the entire sales process to increase the profitability of any firm.
    Operations AnalystAn operations analyst is someone who understands an organization's end-to-end operations. He suggests the best approach for optimising workflow, improving corporate processes, doing timely research, investigating workflow, recommending improvements, and ensuring that best practices, standards, and regulatory compliance are followed.
    Technical Team LeadA technical team lead is a professional who is in charge of leading a technical team in any organisation. Their primary responsibility is to ensure that technical development is appropriately addressed, that products are of good quality, and that they are delivered on schedule. They would need technical talents, but also strong leadership and management abilities.
    Big Data Analyst A Big Data Analyst's job is to research the industry by identifying, collecting, analysing, and communicating data that will help guide future business decisions. A Big Data Analyst deals with undiscovered data, patterns, and hidden trends, among other things.
    Data AnalystA data analyst is someone who collects and analyses data based on sales figures, market research, logistics, and other aspects. They use their technological expertise to ensure the accuracy of data and work toward processing and accurately displaying it. This enables the firm to make sound business decisions.

    What is MBA in Data Analytics Salary?

    Graduates with an MBA in Data Analytics degree can expect to make INR 6 lakhs to INR 15 lakhs per year as a beginning income, with the potential to earn INR 16-31 lakhs per year. In general, different job classifications pay differently. Aspirants should be aware that this compensation is not fixed and may fluctuate depending on several factors. A graduate's pay is affected by criteria such as designation, education level, experience, and location. The table below shows the average starting salary for MBA graduates in Data Analytics in India:

    Job ProfileAverage Annual Salary in INR 
    Marketing Analyst6-13 lakhs 
    Financial Analyst5-14 lakhs 
    Sales Analyst3-12 lakhs 
    Operations Analyst4-11 lakhs 
    Technical Team Lead8-24 lakhs 
    Big Data Analyst 4-17 lakhs 

    Skills Required for MBA in Data Analytics Course

    The most fundamental skill you must have is analytical ability. This implies you can work with massive volumes of data and comprehend the patterns, correlation, causality, linkages, and connections that exist inside those mountains of data. Aside from that, you must be able to communicate effectively with all stakeholders in the firm. 

    You will be requested to convey your findings more frequently than not, therefore you must be able to make the other person comprehend what you want him to understand and have excellent communication skills. Another skill that a data analyst must develop is critical thinking. Ideally, there should be no doubt about what the data analyst recommends.

    Since data is a data analyst's bread and butter, he must be adept at mathematics. Last but not least, you should have an eye for detail, which will help you solidify your place as a highly sought-after data analyst in the long run.

    FAQs about MBA Data Analytics

    What is the average fee for the course MBA in Data Analytics?

    There is no fixed fee for MBA in Data Analytics. However, most colleges charge a semester-wise tuition fee for this course. In the case of private universities, the tuition fee may be slightly higher than those of public/government colleges. Having said that, the average fee range of an MBA in Data Analytics course is between INR 3 lakhs - INR 27 lakhs, which can quickly go up in some of the world-class private business schools.

    What is the duration of the course MBA in Data Analytics?

    MBA in Data Analytics, like any other full-time MBA programme, is a two-year postgraduate degree programme that covers all of the important areas in data analytics. It fortifies the basis of data research and analytics, allowing a candidate to obtain additional experience and value-based learning throughout the MBA Data Analytics programme.

    Who are the prominent recruiters of MBA in Data Analytics graduates?

    The following is a list of some of the most well-known recruiters of the MBA in Data Analytics graduates: Microsoft, Google, Wipro, HCL, Infosys, Genpact, Reliance, Accenture, WNS, Amazon, Facebook, Target, KPMG, IBM, TCS, etc.

    Who is a Supply Chain Analyst?

    One of the primary responsibilities of a supply chain analyst is to improve the performance of an organisation. They do this by defining the requirements for a specific project and coordinating them with the rest of the team. Engineers and quality assurance specialists are required to test their new supply chain operations, therefore the facts are presented to them by a supply chain analyst. They also recommend how to increase performance, minimise costs, and keep inventory under control.

    Who is a System Analyst?

    A systems analyst is someone who uses information technology to solve business challenges through analysis and design. Systems analysts can act as change agents by identifying organisational improvements that need to be made, designing systems to accomplish those improvements, and training and motivating others to use the systems.

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    Related Questions

    g

    geet, Student / Alumni

    The registration for MBA has already started. Mittal School of Business, which attracts students from different parts of the world, is one of India's foremost Business Schools recognized for its industry-oriented curriculum, interactive hands-on pedagogy and intense industry interface. A multidisciplinary campus and multicultural environment suffused with student activity ensures all round development of its graduates, grooming them for successful entrepreneurship and global careers. Mittal School of Business is Among the First 10 Institutions in India to Get ACBSP (USA) Accreditation. Quality of education, placements and well being of the students are the prime focus of LPU. Scholarships, placements, exposure to industry, international internships and placements efficient and knowledgeable faculty, flexible curriculum and teaching pedagogies, infrastructure and diverse culture make LPU unmatchable. LPU shall leave no stone unturned. LPU provides opportunities to students to avail Internship / On-Job Training with industry and they are paid certain monthly stipends. At LPU, it is not about calling companies, it is about preparing students and making sure that they get selected. The university puts its best efforts for the grooming of the students to get good placements. Few of these efforts are like: a. Corporate Interactions, b. Live Projects with Industry, c. Industry Competitions, d. Industry Tie-ups and Centres of Excellence, e. Professional Enhancement Programme PEP Classes Analytical Skills Quantitative Skills, Technical Aptitude Skills, Presentations and Soft Skills and Mock Test.
    M

    Mawal Ark, Student / Alumni

    In order to acquire admission in LPU for MBA programme you need to qualify entrance exam, for your reference below is the eligibility criteria mentioned: Pass with 55% aggregate marks in Bachelor’s degree (any discipline) or equivalent, subject to qualifying LPUNEST or CAT or MAT or XAT or NMAT or CMAT^ and Interview Or Completed Company Secretary (CS) from Institute of Company Secretaries of India (ICSI), subject to qualifying Interview Or Completed Chartered Accountancy (CA) from Institute of Chartered Accountants of India (ICAI), subject to qualifying Interview Or Completed Cost & Management Accountancy (CMA) from Institute of Cost Accountants of India (ICAI), subject to qualifying Interview
    A

    Ashish Aditya, Student / Alumni

    Dear student, admission to the JNU Jaipur MBA programme in 2023 is now open. To secure your admission, you must ensure that you are eligible for the course and have completed all the entrance exams. For JNU Jaipur MBA admission, you must have graduated in any stream from a recognised college or university with good grades and pass any one of the India-level aptitude tests like MAT/CAT/CMAT/XAT/CET. CAT 2022 exam results were declared on Dec 21, 2022, and if you qualified for CAT 2022, then you are eligible for JNU Jaipur MBA admission 2023. After that, you must sit for the Jaipur National University entrance test 2023. If you qualify for the entrance test, then you will be called for the personal interview round, which is the final step for admission to MBA at Jaipur National University.  If you have any more questions, feel free to ask them here.  Thank You.