Career

After the completion of your master in Commerce, you can choose an appropriate job role that too based on your interests, skills, and goals.

Few of the popular options that the students generally go for, after completing MCom are:

• Investment banking
• Financial Analyst
• Business Analyst
• Accountant
• Tax consultant
• Company Secretary
• Auditor
• Stockbroker
• Chartered accountant
• Chief Financial Officer
• Assistant Professor and many more.

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M.Com

Merchant Navy is a good choice if you like sea and want experience in it. 

This career gives many benefits that make it a desirable option. Salaries are also good and even tax free if you spend a good amount of time at sea.

It also offers good promotion!

Yes, Radiology is a good career with growing demand due to advancements in medical courses technology. The increasing use of AI in the Medical department helps improved imaging techniques. Hospitals, clinics, and diagnostic centres continue using imaging for accurate answer, helping candidates in making radiology useful career.

For more information, check the Radilogy career course page.

Merchant Navy is a good choice if you like sea and seek experience.

This career gives many benefits which make it popular one. Salaries are also good and even tax free income if you spend a good amount of time at sea.

It also offers good promotion.

IIEBM PGDM Business Analytics graduates get opportunities in various industries. Some popular job roles are data analyst, machine learning engineer, data scientist, business analyst, etc. The salary package can vary based on recruiter and the job profile.

Agriculture jobs are growing fast in India. ICAR students get government jobs, research work, and NGO jobs. SHIATS students get jobs in agribusiness, food companies, and private farms. Jobs include Agricultural Scientist, Farm Manager, and Agri-Tech Consultant.

Yes you can work as a data scientist after pursuing a course in Bioinformatics. Besides the core skills used by a data scientist, one thing to adapt to is the domain-specific terminology, concepts and certain processes exclusive to biological data.

The catch is - you'll still be dealing with data. You'll be studying the data and exemplifying findings just as you would in any other field. Biological data might seem comparatively sensitive and complex.