MSc Agriculture Analytics Course, Eligibility, Fees, Duration, Colleges, Syllabus, Scope

MSc Agriculture Analytics is a two-year postgraduate degree programme. Students gain knowledge of data science, statistical analysis, and technology for agricultural problems in this MSc degree programme. By combining analytics with fundamental agricultural sciences, this programme prepares students to analyse agricultural data and make wise decisions.

MSc Agriculture Analytics course offers graduates job opportunities with an average package of Rs. 8 Lakhs. Candidates with a Bachelor’s degree or equivalent are eligible to apply for this course. There are various career opportunities after pursuing an MSc in Agriculture Analytics such as Agriculture Data Scientist, Precision Agriculture Specialist, Supply Chain Analyst, Agricultural Economist or Policy Analyst and Climate and Sustainability Data Analyst.

MSc Agriculture Analytics Course Details

MSc Agriculture Analytics Eligibility Criteria

Candidates who wish to pursue MSc Agriculture Analytics must fulfil the required eligibility criteria of the programme. These admission conditions can be different for various colleges, however, most of the institutes require the same eligibility conditions to be fulfilled. Some basic admission requirements are as follows:

• Individuals are required to complete their BSc degree in a relevant field like Chemistry or Biochemistry.
• Students must obtain a minimum of 50 per cent in their respective bachelor’s degree from a recognised university.

MSc Agriculture Analytics Admission

The admission process to pursue an MSc in Agriculture Analytics varies by institute. Candidates are advised to check the admission process of the programme on the official websites of various colleges to get the exact information. However, a general framework of the procedure to be followed is provided below.

• Candidates are required to either visit the institute or fill out the application form through the college’s official website.
• They must submit the relevant documents along with the application form.
• The candidate's merit is the only consideration in the admissions process.
• To get admission, applicants must satisfy the cutoff score for admission to certain colleges.
• Some universities may also choose to conduct personal interviews.

Cutoff of Top Colleges

MSc Agriculture Analytics cut-off is dependent on a group of factors such as determining a student's merit and the number of applicants. Admission to the college is provided to those who score above the cut-off percentage, rank, or marks. Each college's cutoff depends majorly on the merit examinations and the number of students who apply for the programme.

MSc Agriculture Analytics Syllabus and Subjects

The MSc Agriculture Analytics course curriculum varies from one college to another. However, the major subjects in the programme are covered in almost all institutes. In the table below, we have added the MSc Agriculture Analytics syllabus provided by DA-IICT, Gandhinagar:

Scope of MSc Agriculture Analytics

The scope of an MSc in Agriculture Analytics is vast and expanding. This area of study combines data science and analytics with agriculture and offers promising job prospects. This area tackles issues like resource management, food security, and climate change in response to the growing need for data-driven decision-making in agriculture.

Graduates can look for jobs in fields such as Agriculture Data Scientist, Precision Agriculture Specialist, Supply Chain Analyst, Agricultural Economist or Policy Analyst and Climate and Sustainability Data Analyst in Agribusiness. This field is quite dynamic, constantly evolving and forward-looking, with opportunities to work in. With the global push toward sustainable agriculture, the demand for agriculture analytics experts is set to grow. Opportunities are expanding in agritech startups, government projects, and NGOs working on smart farming, sustainability, and rural development.

Career Options after MSc Agriculture Analytics

Graduates have a wide range of employment options in plant biotechnology. Promising opportunities exist in academia and research and in the public and private sectors. We have provided below major career options that they can opt for right after successful completion of MSc in Agriculture Analytics.

Top Recruiters

MSc Agriculture Analytics graduates are in high demand across various sectors. Some of the top recruiters in the field of Plant Biotechnology include:

• John Deere,
• Climate Corporation,
• Climate Corporation,
• Boston Consulting Group (BCG),
• KPMG,
• PwC,
• ICAR (Indian Council of Agricultural Research), and
• EY

Benefits of MSc Agriculture Analytics

In the current agricultural environment, where technology and data-driven decision-making are crucial, graduates with an MSc in Agriculture Analytics are highly valued due to their specialised knowledge and abilities. As agriculture becomes increasingly data-centric, there is a strong demand for experts in analytics who can interpret complex data to drive productivity and sustainability.

Graduates can fill roles in emerging fields such as precision agriculture, crop modelling, and digital farming, where demand exceeds supply. Agriculture analytics opens doors in various sectors including agritech, agribusiness, consulting, research institutions, NGOs, and government bodies. The programme emphasises sustainable agricultural practices, helping graduates contribute to climate resilience and natural resource management.

Expected Salary after MSc Agriculture Analytics

The salary offered to MSc Agriculture Analytics graduates varies depending on their skills and knowledge. M.Sc. graduates may initially join as junior scientists, research associates, or assistants, with the potential for progression as they gain experience.

Source: Glassdoor, Payscale

Note: Salary may vary depending on various circumstances.

M.Sc in Agriculture Analytics is a specialised degree that equips students with the knowledge and abilities necessary to make data-driven decisions in the agricultural industry by fusing data analytics with agricultural concepts. The programme's main goal is to increase agricultural productivity, sustainability, and efficiency through the application of data science, statistical analysis, and contemporary technical instruments.