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Data Scientist

Data Science is one of the most in-demand and high-paying career domains in the technology and analytics industry.

Program Overview

The Data Science program is designed to provide students with comprehensive knowledge of statistical analysis, machine learning, data visualization, and big data technologies. This industry-oriented program helps learners develop analytical, programming, and problem-solving skills required in the modern data-driven world.
Students will gain practical exposure to data mining, predictive modeling, artificial intelligence, deep learning, and data engineering through real-world projects and hands-on learning. The program also focuses on statistical thinking, algorithmic approaches, and business intelligence skills essential for building a successful career in data science and analytics.
With expert guidance, practical training, and career-focused learning, this program prepares students for high-paying job opportunities in tech companies, research organizations, financial institutions, and global enterprises.

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NAAC A+ Accredited

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UGC Entitled

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NIRF Ranking 3

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Private University in North East

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WES Recognized

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AICTE Approved



Key Responsibilities

Explore the core responsibilities handled by Data Science professionals in the technology industry.

Data Collection & Cleaning

Gather, clean, and preprocess large datasets from various sources for analysis.

Statistical Analysis

Apply statistical methods and techniques to analyze data and extract meaningful insights.

Machine Learning Modeling

Develop and implement machine learning algorithms for predictive analytics and automation.

Data Visualization

Create compelling visualizations and dashboards to communicate data insights effectively.

Predictive Modeling

Build predictive models to forecast trends and support strategic business decisions.

Algorithm Development

Design and optimize algorithms to solve complex business problems efficiently.

Skills Required

Develop essential technical skills required to build a successful career in Data Science.

Programming Skills

Master Python, R, and SQL for data manipulation and analysis.

Statistical Knowledge

Apply statistical concepts and probability theory for data analysis.

Machine Learning

Implement ML algorithms and deep learning frameworks for predictive modeling.

Data Visualization

Create effective data visualizations using tools like Tableau, Power BI, and matplotlib.

Database Management

Work with databases, data warehousing, and big data technologies.

Problem-Solving

Develop analytical thinking and problem-solving abilities for complex data challenges.

Career Opportunities

Explore diverse career paths and lucrative job opportunities in Data Science.

Data Scientist

Analyze complex data to help organizations make better decisions

Data Analyst

Transform raw data into actionable insights for business growth

ML Engineer

Build and deploy machine learning models at scale

Data Engineer

Design and maintain data pipelines and infrastructure

AI Researcher

Conduct research in artificial intelligence and deep learning

Business Intelligence Analyst

Develop dashboards and reports for strategic decision-making

Research Analyst

Conduct data-driven research to support business initiatives

Analytics Manager

Lead data analytics teams and strategic initiatives

Eligibility Criteria

Check your eligibility for the Data Science program.

Educational Qualification

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
  • Minimum 50% marks in graduation (45% for reserved categories)
  • Working professionals with IT/Analytics background are eligible

Technical Skills

  • Basic programming knowledge (Python/R preferred)
  • Strong mathematical and analytical aptitude
  • Problem-solving and logical thinking abilities

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