Online M.Sc in AI and Machine Learning

The degree online M.Sc in AI and Machine Learning, is the appropriate course to pursue if you aim to make it into the management stream. This covers all facts and theories of management strategies. It trained the individual to help the business in smooth functioning.

online M.Sc in M.Sc AI and Machine Learning

Is MSc it valued?

The answer to the question, “Is MSc Computer Science worth it?” depends on a student's interests, goals, and career aspirations. However, based on various placement reports and other data, MSc Computer Science or MS in Computer Science offers immense growth in your career if you put your skills to proper use.

Does MSc have scope in future?

What is the future scope of M.Sc? The future scope for MSC graduates is promising, with many opportunities available in a variety of fields. The specific job prospects available to you will depend on your area of study, experience, and skills, as well as the job market in your chosen field.

Explore Advanced Career Opportunities

Today`s world is the century of innovation and entrepreneurs. And India is growing at a rapid pace in the business world so it is high time to have trained professionals. This degree makes you fit many domains of business administration.

Earn a High Salary After M.Sc

MSc salary in India on an average is INR 3,60,000 per year, or INR 144 per hour. MSc Salary for a graduate can range from INR 3 - INR 15 LPA. However, the starting salary for entry-level positions is INR 262,500.

Admission Procedure Of Online

It is 2 years postgraduate degree that can be done by anyone who completed an undergraduate degree from any recognized college or university. Getting admission is a smooth process just you need to choose a college. Any individual with 55% aggregate marks in bachelor's can apply for it.

Admission Procedure

online M.Sc in AI and Machine Learning Admission process
Eligibility

B. sc / B. sc Pass out

Duration

Min 2 — Max 4 years

Approvals

UGC, AICTE, NAAC

Procedure to Take Admission in the Online M.Sc in AI and Machine Learning

Online M.Sc in AI and Machine Learning Registration processOnline M.Sc in AI and Machine Learning Registration process

Course Outline

This course will include business planning and entrepreneurship, fundamentals, and advanced business management It is designed in such a way that you can gain a wholesome idea of business administration and growth. And in the last semester, you may need to take practical exposure through internships and projects.

  • Semester 1
  • Financial Reporting & Statement Analysis
  • Business Statistics
  • Managerial Economics
  • Programming with R & Python
  • Database Management
  • -------
  • Semester 2
  • Business Econometrics
  • Financial Management
  • Applied Multivariate Data Analysis
  • Data Visualisationy
  • Design and Analysis of Experiments
  • Mini Project
  • Semester 3
  • Time Series Analysis
  • Machine Learning Methods
  • Deep Learning and Text Mining
  • Project Management
  • Big Data Analytics
  • Semester 4
  • Marketing Analytics
  • Digital and Web Analytics
  • Financial Assets Valuation
  • Financial Analytics
  • Capstone Project

Other Online M.Sc Course Specializations

How to Choose the Right University?

Doing M.Sc from a renowned university is impactful from a career perspective. Before you go for admission in online you must be aware of the right place to apply. Consider these points while looking for a college or university

consult the university rankings
check the course content
Look at your requirements and fee's structure

Differences Between Online M.Sc and Regular M.Sc Programs

Both Online M.Sc and Regular M.Sc programs aim to equip students with advanced business management skills, but they differ significantly in terms of structure, delivery, flexibility, networking opportunities, and overall experience. Here’s a detailed comparison:

  • Online M.Sc
  • Delivered primarily online through virtual classrooms, recorded lectures, and digital course materials.
  • Learning is often self-paced with occasional live sessions.
  • Regular MA
  • Delivered through in-person classes at a physical campus.
  • Involves face-to-face interactions with professors and peers.

Career Opportunities

After completing this course, you can be hired as a Machine Learning Engineer, Developer, Data Scientist and AI Research Scientist, etc. You can work in management firms or with start-ups there is a vast pool of opportunities after this degree.

AI Research Scientist

Data Scientist

Developer

Machine Learning Engineer

AI/ML Software Developer

Machine Learning Operations (MLOps) Engineer

AI Product Manager

Data Engineer

AI Ethics Consultant

M.Sc AI and Machine Learning FAQ

Advanced subjects like deep learning, neural networks, computer vision, reinforcement learning, natural language processing, and data-driven decision-making are covered in the online Master of Science in AI and Machine Learning program. The curriculum is made to give students the knowledge and abilities they need to create AI models, use machine learning techniques, and use AI to address challenging real-world issues.

Candidates normally need a bachelor's degree in computer science, engineering, mathematics, statistics, or a similar discipline from an accredited university in order to enrol in the Online M.Sc. in AI and Machine Learning. Candidates having relevant professional experience in data science, AI, or machine learning may also be taken into consideration by certain colleges.

Graduates of the online master's program in artificial intelligence and machine learning can work as robotics engineers, AI consultants, machine learning engineers, AI specialists, and data scientists. These positions are in great demand in a variety of sectors, including manufacturing, technology, finance, healthcare, and automobiles.

Yes, the University Grants Commission (UGC) recognises online master's degrees in AI and machine learning from approved universities, and these degrees are acceptable for employment in the public and private sectors. The curriculum is developed to stay up with the quickly developing disciplines of artificial intelligence (AI) and machine learning, guaranteeing that graduates have the knowledge and abilities necessary to succeed in the digital sector.

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