MDAE believes that the true purpose of education is to liberate the minds of young students. Set-up in 2014, at Mumbai, under the able guidance of Lord Meghnad Desai, Professor Emeritus, London School of Economics, the focus of the academy is to address the yawning gap between what the market needs and what traditional colleges offer. Through an amalgamation of theoretical rigor, interdisciplinary exposure and mentorship, the Academy prepares students for real life, by teaching them how to think and not what to think!
Know MoreWe are excited to announce the 9th edition of the Young Economists Research Competition. This year’s competition is open to undergraduate students from all disciplines. Participants can choose from six engaging topics and will present their research papers to a panel of esteemed judges. Please note that students must register in pairs.
Deadline for registration: 25 November 2024
Register NowAlumni, PGD Economics,
Batch of 2023-24
Alumni, PGD Economics,
Batch of 2023-24
I took up MDAE's PGD in Data Science & Finance (2023-2024) after a degree in Actuarial Science, and 1 year as an Actuarial Associate in an insurance company. I studied courses at MDAE such as Python, Econometrics, Data Analysis, SQL, Data Visualization, and Machine Learning. This helped me compliment my actuarial knowledge. I have now been hired by M&G PLC, an Insurance Consulting organization. I am a more versatile Actuarial Analyst now on account of the MDAE program. My CTC went up 1.75 times after the MDAE Program.
I took up MDAE's PGD in Data Science & Finance after a BAF degree, having completed 8 exams of actuarial science and 1.5 years as a Consultant in an insurance company. I studied courses at MDAE such as Python, Econometrics, Data Analysis, SQL, Data Visualization and Machine Learning. This helped me compliment my actuarial knowledge and double my compensation as a Senior Executive (Pricing) when I returned to a job after MDAE. I am a more versatile Actuarial Analyst now on account of the MDAE program.
I recently received the prestigious Lord Meghnad Desai Best Dissertation Award at MDAE. Prof Shreshti Rawat's teachings have been very helpful and are a great base to build more knowledge upon. To give a snapshot, I worked on family structure and its impact on female labour force participation. I used the log-likelihood of a married woman staying in a joint family as an instrumental variable to tackle endogeneity. This went into another linear probability model for family choices, and those predicted probabilities later served as one of the instrumental variables in my main model. Prof Shreshti Rawat's class was a game-changer for grasping this stuff.
My journey from Meghnad Desai Academy of Economics (MDAE) to Nielsen has been both challenging and rewarding. At MDAE, I developed strong skills in data analysis that really opened up exciting opportunities for me. The courses I took in Maths, Stats, Advanced Microsoft Excel, Econometrics. Python Programming, Data Analysis, SQL, Power BI, Machine Learning set me up for a career as a Data Analyst. MDAE placed me from campus as a Political Consultant at Varahe Analytics. There I managed projects like a survey on bus services in Himachal Pradesh. I am now preparing to step into my new role as a Live Data Production Editor at Nielsen in Mumbai, in a global, fast-paced environment. I’m looking forward to applying my skills to analyze live data for rugby and football matches.
Mr. Mahesh Vyas, MD & CEO-CMIE at MDAE
A decent job is characterised by a written contract, paid leaves, and social security.
CMIE has been recording unemployment data since 2016, revealing a disconnect between growth and employment in India. From 2016 to 2024, labour force participation has declined by 4%, and the employed population has declined by 6%, while the proportion of unemployed population was at a steady state at 8%.
The RBI’s focus on the trade-off between inflation and growth overlooks the crucial trade-off between inflation and unemployment rate.
Entrepreneurship is rising, but we need large-scale entrepreneurs who can provide employment to large populations rather than those disguised in the form of self-employed. Women face systematic disadvantages in employment.
Listed companies should grow their net fixed assets to hire more as Governments and large companies are best suited to provide decent jobs. To sum up, providing poor quality jobs to many, high-paying jobs to a few, and excluding women is not the path to a robust and inclusive recovery.
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