M.Sc. Data Science vs M.Sc. Artificial Intelligence: Understand the Key Differences
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M.Sc. Data Science vs M.Sc. Artificial Intelligence: Understand the Key Differences

#M.Sc.
Ankita SinhaUpdated on 27 Jan 2025, 11:02 AM IST

MSc Data Science and MSc Artificial Intelligence are the two postgraduate programmes. Candidates who want to start a career in tech, Data Science and Artificial Intelligence are the two most common and sought-after courses among Science students. Data Science and Artificial Intelligence are the two most powerful tools for businesses to enhance their productivity and innovation. In this article, we will write about similarities and differences between an M.Sc. in Data Science and an MSc in Artificial Intelligence.

Course Curriculum: M.Sc. Data Science vs M.Sc. Artificial Intelligence

M.Sc. Data Science vs M.Sc. Artificial Intelligence: Understand the Key Differences
M.Sc. Data Science vs M.Sc. Artificial Intelligence

M.Sc. in Data Science is a postgraduate programme of two-year duration which focuses on data collecting, cleaning, analyzing, and interpreting large datasets to get insights. The course curriculum includes:

  • Big-Data Analytics
  • Statistical Inference
  • Blockchain Technology
  • Data Structures and Algorithms
  • Data Mining and Machine Learning
  • Programming Languages like Python, R, and SQL

M.Sc. in Artificial Intelligence is a two-year-long postgraduate course that emphasizes creating a system that can perform various tasks requiring human intelligence. M.Sc. in Artificial Intelligence course curriculum covers:

  • Advanced Machine Learning
  • Deep Learning and Neural Networks
  • Natural Language Processing (NLP)
  • Computer Vision
  • Robotics
  • AI Ethics and Applications

Eligibility Criteria: M.Sc. Data Science vs M.Sc. Artificial Intelligence

The eligibility criteria for M.Sc. Data Science and M.Sc. Artificial Intelligence courses are similar. A few colleges offer this course as a sub-specialisation of Computer Science Engineering (CSE). Both courses are offered together by a few universities. In this section, we have mentioned the M.Sc. in Data Science and M.Sc. in Artificial Intelligence eligibility criteria.

  • Candidates need to complete a bachelor's degree programme in Computer Science, Mathematics, Engineering, or related fields.
  • They should have a sound knowledge of programming and mathematics.
  • Candidates should have passed 10+2 with a minimum of 50 per cent mark.
  • They need to appear for the CUET PG, IIT JAM, and GATE entrance exams.

Fees: M.Sc. Data Science vs M.Sc. Artificial Intelligence

M.Sc. in Data Science courses are offered by a lot of private and government colleges in India. In the table below, we have mentioned a few M.Sc. in Data Science colleges and their fees.

MSc Data Science Colleges

Fees

Loyola College, Chennai

Rs. 3.85 lakhs

Chandigarh University

Rs. 2.40 lakhs

GITAM University

Rs. 2.15 lakhs

Christ University

Rs. 3.45 lakhs

VIT Vellore

Rs. 1.60 lakhs


M.Sc. in Artificial Intelligence is a two-year undergraduate course that is offered by various colleges. In the table below, we have mentioned the M.Sc. in Artificial Intelligence colleges and their fees.

Career Options: M.Sc. Data Science vs M.Sc. Artificial Intelligence

M.Sc. in Data Science graduates can work in industries like finance, healthcare, marketing, and technology. MSc Data Science salary can range from Rs. 8- Rs. 12 LPA, which can grow depending on experience, location, and company. Popular roles include:

  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Data Engineer

M.Sc. in Artificial Intelligence graduates often find opportunities in cutting-edge technology and R&D. Entry-level M.Sc. in Artificial Intelligence salary is Rs. 6 LPA to Rs. 14 LPA. Some of the M.Sc. in Artificial Intelligence career options are:

  • Machine Learning Engineer
  • AI Specialist
  • Robotics Engineer
  • AI Researcher

Conclusion

Both the MSc in Data Science and the MSc in Artificial Intelligence have different benefits. Data science is a better option if you want to work with data and extract insights to address business issues. AI, on the other hand, can be selected if they want a career in developing intelligent systems and investigating robotics and machine learning.

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Questions related to M.Sc.

On Question asked by student community

Have a question related to M.Sc. ?

Yes, you can apply for several FSSAI-related posts, but it depends on the specific post and its eligibility rules.

For FSSAI recruitment, different posts require different educational backgrounds. M.Sc. Food Science and Nutrition is generally considered a relevant qualification for many food-safety-related roles, but B.Sc. Zoology alone does not meet the criteria for most positions.

Here is how it works:

• For the Central Food Safety Officer (CFSO) post, the required qualification usually includes a degree in Food Technology, Food Science, Microbiology, Biochemistry, Biotechnology, Agricultural Science, Veterinary Sciences, Dairy Technology, or related fields. Nutrition and Food Science are considered relevant for this post, so your M.Sc. fits the requirement. Your B.Sc. Zoology does not create any issue because the highest qualification is considered.

• For Technical Officer roles, they also accept specialization related to food science, food safety, biochemistry, microbiology, and allied fields, so your M.Sc. Food Science and Nutrition again makes you eligible.

• For Assistant or Administrative posts, any graduation is accepted, so you are eligible through B.Sc. as well.

In short, because you hold an M.Sc. in Food Science and Nutrition, you meet the qualifications for CFSO and several other technical posts. Make sure to check the exact notification when applications open, as requirements may slightly change from one cycle to another. All the best.

Hello,
To prepare for the AIIMS MSc Biotechnology entrance exam, focus mainly on your BSc subjects such as Botany, Zoology, Biochemistry, Microbiology, Chemistry, and Biotechnology. You should study standard reference books like Lehninger for Biochemistry, Kuby for Immunology, and Prescott for Microbiology. You can also download and practice previous AIIMS MSc Biotechnology papers to understand the pattern and difficulty level. Solving sample questions and giving mock tests regularly will help improve your speed and accuracy. A proper study plan, along with revision of important concepts and continuous practice, will increase your chances of scoring well in the exam
Hope this helps you.

Good Afternoon, Candidate,

Yes, you can definitely pursue Mtech in biotechnology. MSc in biotechnology provides you basic educational foundation for your Mtech career.

Thank You.

Hello,

Here you can access MSc Microbiology syllabus for 2026 from the mentioned link below:

https://www.careers360.com/courses/msc-in-microbiology

Hope it helps.


The syllabus for M. Sc . Microbiology generally includes advanced study of microorganisms, their genetics, physiology, applications and laboratory techniques. Although every university has small variations, the core structure remains similar across India. The major units usually taught are:

1. Microbial Diversity & Taxonomy

  • Classification of bacteria, fungi, algae, protozoa, viruses.

  • Modern classification: 16S rRNA sequencing, phylogenetic trees.

  • Extremophiles and environmental microbes.

2. Microbial Physiology & Metabolism

  • Structure of bacterial cell, growth curve, nutrient requirements.

  • Aerobic & anaerobic respiration, fermentation pathways.

  • Enzymes, bioenergetics, metabolic regulation.

3. Microbial Genetics & Molecular Biology

  • DNA replication, transcription, translation.

  • Operons, mutations, gene regulation.

  • Plasmids, transposons, horizontal gene transfer.

4. Immunology

  • Innate and adaptive immunity.

  • Antibodies, antigen–antibody reactions.

  • Hypersensitivity, vaccines, immune disorders.

5. Biochemistry for Microbiology

  • Biomolecules: carbohydrates, proteins, lipids, nucleic acids.

  • Enzymology & metabolism.

6. Medical Microbiology

  • Pathogenic bacteria, viruses, fungi & parasites.

  • Mechanisms of infection, virulence factors.

  • Diagnostic methods: staining, culture, PCR, serology.

7. Industrial & Food Microbiology

  • Fermentation technology: antibiotics, alcohol, enzymes, organic acids.

  • Food spoilage, food preservation, HACCP.

  • Probiotics & prebiotics.

8. Environmental & Agricultural Microbiology

  • Wastewater treatment, biodegradation, biofertilizers.

  • Nitrogen fixation, soil microbes, plant–microbe interactions.

9. Microbial Biotechnology

  • Recombinant DNA technology.

  • Cloning, vectors, PCR, CRISPR basics.

  • GMOs, biofuels, bioremediation.

10. Virology & Mycology

  • Virus structure, replication, vaccines.

  • Fungal diseases, fungal growth, industrial fungi.

11. Biostatistics & Research Methodology

  • Statistical tests, data analysis.

  • Research design, scientific writing.

12. Practical Components

  • Culture techniques, media preparation, microscopy.

  • Biochemical tests, antibiotic sensitivity tests.

  • Molecular biology experiments (PCR, DNA extraction)

    This is the broad, detailed syllabus followed by most M. Sc . Microbiology programmes for the 2026 cycle. Universities may add elective papers like nanobiotechnology, microbial genomics or clinical microbiology depending on their curriculum. All the best.