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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