Atlas SkillTech University MBA Admissions 2026
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AI or Artificial Intelligence has rapidly moved from being just a technological buzzword to becoming a transformative concept in global business practices. It is redefining how organisations analyse data, design strategies, enhance customer experiences, and streamline operations. Recognising this shift, leading business schools have integrated AI-driven tools into their MBA curriculum.
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By equipping students with proficiency in AI tools, MBA programmes aim to create leaders capable of navigating a business environment where technology and management are increasingly converging. This article outlines some of the most prominent AI tools currently taught in MBA programmes and highlights their significance for aspiring managers and business leaders.
Tableau is a widely adopted platform for data visualisation and business intelligence. Its AI-powered features, such as predictive modelling and automated insights, are frequently incorporated into MBA analytics courses.
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Microsoft Power BI, enhanced with the Copilot feature, is another essential tool in business analytics education. It allows users to query data using natural language and generate real-time visual reports.
Generative AI tools such as ChatGPT are increasingly incorporated into the MBA curriculum, particularly within marketing, strategy and communication modules.
Cloud AI platforms such as Google Vertex AI and Microsoft Azure are commonly used in MBA programmes focused on technology management and business analytics.
Alphasense is an AI-powered market intelligence and search platform widely used in the business and finance world. It helps companies, investors, and professionals to quickly find, analyse, and interpret a vast amount of business information such as company filings, earnings calls, research reports, news articles, and market insights.
The benefits of mastering AI tools for MBA graduates include -
Modern MBA graduates are not only expected to understand the theoretical concepts of finance, marketing and operations, but also learn AI tools. Nowadays, knowing data and technology provides a competitive advantage to students.
On Question asked by student community
Hello aspirant,
Here below I am providing you with the name of some of the best MBA colleges in Hyderabad:
To know about more colleges, you can visit our site through following link:
https://bschool.careers360.com/colleges/list-of-mba-colleges-in-hyderabad
Thank you
Hello,
Here are some top MBA colleges in India with fees under Rs. 2 lakh and their exam/cutoff details:
SIMSREE, Mumbai – Fee around Rs. 1.3–1.4 lakh for 2 years. Accepts CAT, CMAT, MAH-CET, MAT, ATMA. Cutoff is very high, usually 99+ percentile in CAT/CMAT.
PUMBA (Dept. of Management Sciences, Savitribai Phule Pune University) – Fee around Rs. 1.2–1.3 lakh. Accepts CAT, CMAT, MAH-CET, ATMA. Cutoff approx. 75+ percentile in CAT, 90–95+ percentile in CMAT, high scores in MAH-CET.
TISS, Mumbai (MA HRM & other management-related programmes) – Fee around Rs. 1.7–1.9 lakh. Accepts CAT for some courses. Qualifying cutoff is around 60–70 percentile, but final selection cutoffs are higher.
These are the main government institutes where the full MBA/PG programme fee is within Rs. 2 lakh. Cutoffs vary slightly each year and by category, but SIMSREE and PUMBA generally need high scores, while TISS has its own process along with CAT shortlisting.
Hope it helps !
Yes, MBA in FinTech is a good option if you are interested in the combination of finance and technology. After this course you can work in roles like FinTech product manager, financial analyst, blockchain/crypto specialist, risk & compliance manager, or business development manager in banks, startups, and financial companies.
For the salary part, freshers usually start with around 5–10 LPA in normal companies and in bigger FinTech firms or banks it can even go up to 10–15 LPA, depending on your skills, college, and location.
If you do Data Science and then an MBA in Finance, you can get many high-paying jobs. Some of the best options are:
1. CFO (Chief Financial Officer) – You manage a company’s finances, budgeting, and reports. Big companies pay 40 lakh to 1 crore per year.
2. Investment Banker – You help clients raise money and do mergers or acquisitions. Salaries start around 10–12 lakh for freshers and can go up to 30 lakh or more with experience.
3. Chief Data Officer – You lead data strategies in companies. Pay can be 80 lakh to 1.3 crore per year.
4. Machine Learning Engineer / AI Scientist – You create AI and ML models. Salary is around 35–42 lakh per year.
5. Product Manager – You manage product strategy and market positioning. Can earn 89 lakh to 1.1 crore per year in big tech companies.
6. Financial Actuary – You analyze financial risks. Pay is around 25–30 lakh per year.
Hello,
If you have made a mistake while entering your education details in KEA PGCET MBA option entry, you cannot edit it directly once it is submitted. You need to contact KEA immediately.
You can:
Call the KEA helpline numbers.
Or visit the KEA office with your documents.
They will guide you on how to correct the mistake. Do it quickly, as corrections are allowed only within the given time.
Hope it helps !
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