Data Science & Big Data Analytics Specialization

Total Fees:

₹8,00,000

Eligibility Criteria:

Candidates must have completed 12th / 10+2 or an equivalent examination with Physics, Chemistry, and Mathematics (PCM) as core subjects. Diploma holders in relevant engineering or technical fields may also be eligible, subject to the admission guidelines of the respective institution.

Academic Requirements:

• Completion of 10+2 / Senior Secondary education or equivalent.
• Physics and Mathematics should be studied as core subjects.
• Chemistry or another approved technical subject may be required.
• Diploma holders in relevant engineering or technical disciplines may be eligible.
• Candidates must satisfy the academic requirements specified by the institution.

_{Strong Foundation in Data Science}

Provides a strong foundation in data science, statistics, programming, data analytics, machine learning, and artificial intelligence.

_{Practical Learning Experience}

Provides hands-on experience through laboratories, coding projects, workshops, internships, real-world datasets, and practical assignments.

_{Big Data Technologies}

Develops knowledge of technologies and techniques used for storing, processing, managing, and analyzing large and complex datasets.

_{Industry-Relevant Skills}

Builds practical skills in Python, SQL, data visualization, machine learning, database management, cloud computing, and data analytics.

_{Artificial Intelligence and Machine Learning}

Introduces students to AI and machine learning techniques used to develop predictive models, intelligent applications, and automated solutions.

_{Career Opportunities}

Creates career opportunities across IT, finance, healthcare, e-commerce, business intelligence, consulting, research, and technology sectors.

_{Growing Demand for Data Professionals}

Prepares students for the growing demand for professionals who can analyze data, generate insights, build predictive models, and support data-driven decision-making.

_{Problem-Solving and Analytical Skills}

Develops critical thinking, logical reasoning, statistical analysis, data interpretation, and problem-solving abilities.

_{Cloud and Modern Data Technologies}

Provides exposure to cloud computing, modern data platforms, analytics tools, and technologies used for large-scale data processing.

_{Higher Education Opportunities}

Students can pursue M.Tech and specialized programs in Data Science, Artificial Intelligence, Machine Learning, Big Data Analytics, and related fields.