B.E. in Computer Science and Engineering- Data Science

At AITM, our Department of Data Science, established in 2023, is dedicated to shaping future leaders in the realm of data-driven innovation. With a focus on fostering entrepreneurial spirit and product development prowess, we equip students with the technical acumen and skills needed to excel in Data Science and Business Analytics. Leveraging the vast landscape of business data, we provide comprehensive theoretical foundations and hands-on project experiences in cutting-edge tools and technologies. Committed to excellence, we ensure our students acquire a strong domain expertise in mathematics, business systems, and engineering sciences, empowering them to thrive in today’s dynamic technological landscape.

Our vision for the Department of Data Science is to cultivate a dynamic ecosystem where creativity, collaboration, and cutting-edge research converge to drive transformative insights and solutions. We envision our graduates as leaders in the data-driven revolution, shaping a future where data science propels innovation across industries and positively impacts society

Fostering Data-Driven Excellence: Our mission is to equip students with the skills, knowledge, and ethical framework needed to excel in the dynamic field of data science. Through rigorous education, collaborative research, and real-world application, we aim to empower our graduates to harness the power of data for positive change and innovation

Empowering Tomorrow’s Innovators: Opportunities and Support in Data Science :

Student Organizations: Establish dedicated student clubs or organizations focused on AI and ML, offering opportunities for networking, skill-building workshops, and collaborative projects.

Internship Opportunities: Forge partnerships with industry leaders to provide AI and ML-specific internships, enabling students to gain practical experience and apply classroom learning to real-world scenarios.

Research Grants: Offer research grants or scholarships to support student-led projects in AI and ML, fostering innovation and encouraging exploration of emerging technologies.

Hackathons and Competitions: Organize hackathons, coding competitions, and innovation challenges focused on AI and ML, providing platforms for students to showcase their talent and creativity.

Guest Lectures and Workshops: Invite industry experts and academic scholars to deliver guest lectures, conduct workshops, and share insights into the latest trends and advancements in AI and ML.

Industry Partnerships: Facilitate industry partnerships and collaborations for student projects, research initiatives, and internship opportunities, bridging the gap between academia and industry.

Career Guidance: Offer career counseling and guidance services tailored to AI and ML fields, including resume workshops, mock interviews, and job placement assistance.

Infrastructure and Resources: Ensure access to state-of-the-art computing facilities, software tools, and datasets required for AI and ML research and coursework.

Alumni Engagement: Foster connections with alumni working in AI and ML-related fields, organizing alumni panels, mentorship programs, and networking events to provide valuable insights and opportunities for current students.

Promotional Events: Host promotional events such as AI and ML symposiums, tech talks, and open houses to showcase the department’s achievements, research projects, and student success stories to a wider audience.

Carrier opportunities

  • Data Scientist
  • Machine Learning Engineer
  • Data Engineer
  • Big Data Engineer
  • Business Intelligence Analyst
  • Data Analyst
  • Data Mining Engineer
  • Predictive Analytics Engineer
  • Statistical Modeler
  • Quantitative Analyst
  • Operations Research Analyst
  • Business Analyst
  • Decision Scientist
  • Artificial Intelligence Engineer
  • Natural Language Processing Engineer
  • Computer Vision Engineer
  • Deep Learning Engineer
  • Data Visualization Engineer
  • Database Administrator
  • Data Architect
  • Data Warehousing Engineer
  • Cloud Data Engineer
  • IoT Data Engineer
  • Financial Analyst (Data Science)
  • Marketing Analyst (Data Science)
  • Public Health Analyst (Data Science)
  • Environmental Scientist (Data Science)
  • Agriculture Data Engineer
  • Forensic Data Scientist
  • Healthcare Data Analyst
  • Supply Chain Analyst (Data Science)
  • Fraud Detection Analyst
  • Risk Analyst (Data Science)
  • Customer Insights Analyst
  • Product Analyst (Data Science)
  • Social Media Analyst
  • Sports Analytics Engineer
  • Environmental Data Scientist
  • Geospatial Data Engineer
  • Energy Analyst (Data Science)
  • Retail Analytics Engineer
  • E-commerce Data Analyst
  • Telecommunications Data Engineer
  • Transportation Data Analyst
  • Gaming Analytics Engineer
  • Audio/Speech Data Engineer
  • Video Data Engineer
  • Image Processing Engineer
  • Cybersecurity Data Engineer
  • Text Analytics Engineer
  • Web Analytics Engineer
  • Mobile App Analytics Engineer
  • Pharmaceutical Data Scientist
  • Biomedical Data Engineer
  • Genomic Data Analyst
  • Clinical Data Scientist
  • Health Informatics Engineer
  • Legal Analytics Engineer
  • Regulatory Compliance Analyst (Data Science)
  • Policy Analyst (Data Science)
  • Education Data Analyst
  • Learning Analytics Engineer
  • Human Resources Data Analyst
  • Talent Acquisition Analyst (Data Science)
  • Diversity and Inclusion Analyst (Data Science)
  • Real Estate Data Scientist
  • Construction Analytics Engineer
  • Urban Planning Data Engineer
  • Hospitality Analytics Engineer
  • Tourism Data Analyst
  • Nonprofit Data Analyst
  • Social Impact Analyst (Data Science)
  • Government Data Scientist
  • Defense Analytics Engineer
  • Intelligence Analyst (Data Science)
  • Space Data Engineer
  • Gaming Technology Data Analyst
  • Virtual Reality (VR) Data Engineer
  • Augmented Reality (AR) Data Scientist
  • Quantum Computing Data Engineer
  • Autonomous Vehicles Data Scientist
  • Robotics Data Engineer
  • Internet of Things (IoT) Data Analyst
  • Smart City Data Scientist
  • Wearable Technology Data Engineer
  • Biometric Data Analyst
  • Climate Change Analyst (Data Science)
  • Renewable Energy Data Scientist
  • Smart Grid Data Engineer
  • Water Resource Data Analyst
  • Waste Management Data Engineer
  • Disaster Management Analyst (Data Science)
  • Emergency Response Data Scientist
  • Humanitarian Data Engineer
  • Financial Technology (Fintech) Data Scientist
  • Insurtech Data Engineer
  • Regtech Analytics Engineer
  • Blockchain Data Scientist
  • Cryptocurrency Data Engineer
  • Epidemiologist (Data Science)

These roles span various industries and Companies recruiting :

  • Google
  • Amazon
  • Microsoft
  • Facebook
  • Apple
  • IBM
  • Tesla
  • Intel
  • Adobe
  • Salesforce
  • Oracle
  • SAP
  • Cisco
  • Accenture
  • Deloitte
  • Ernst & Young (EY)
  • Blue Origin
  • Virgin Galactic
  • Lockheed Martin Space
  • Boeing Space & Launch
  • BMW
  • Mercedes-Benz
  • Honda
  • Nissan
  • Tesla
  • KPMG
  • McKinsey & Company
  • Boston Consulting Group (BCG)
  • Bain & Company
  • Uber
  • Lyft
  • Airbnb
  • Netflix
  • Spotify
  • Twitter
  • LinkedIn
  • PayPal
  • eBay
  • Reddit
  • Dropbox
  • Slack
  • Zoom
  • Square
  • Pinterest
  • Snapchat
  • GlaxoSmithKline (GSK)
  • AstraZeneca
  • Eli Lilly and Company
  • Bristol Myers Squibb
  • SpaceX
  • TikTok
  • Alibaba
  • Tencent
  • Baidu
  • Huawei
  • Xiaomi
  • Samsung
  • LG Electronics
  • Sony
  • Philips
  • Siemens
  • General Electric (GE)
  • Boeing
  • Airbus
  • Lockheed Martin
  • Northrop Grumman
  • Raytheon Technologies
  • General Dynamics
  • BAE Systems
  • Ford
  • General Motors (GM)
  • Toyota
  • Volkswagen
  • Roche
  • Merck
  • AbbVie
  • Amgen
  • Moderna
  • Pfizer BioNTech
  • Johnson & Johnson Janssen
  • Sinovac
  • Oxford-AstraZeneca
  • Bharat Biotech
  • Novavax
  • Covaxin
  • Sanofi
  • Regeneron
  • Gilead Sciences
  • Northrop Grumman Space Systems
  • Raytheon Technologies Space & Airborne Systems
  • IBM Watson Health
  • Philips Healthcare
  • Siemens Healthineers
  • GE Healthcare
  • Medtronic
  • Johnson & Johnson
  • Pfizer
  • Novartis

Average Salary for the  Data Science Engineers in India:

Entry-level                                                        : ₹6,00,000 – ₹10,00,000 per year

Mid-level (3-5 years of experience)             : ₹10,00,000 – ₹18,00,000 per year

Senior-level (5+ years of experience)          : ₹18,00,000 – ₹30,00,000+ per year

A Lead Data Scientist earns between 24 Lakhs and 1 Crore per year in India.

Dr. J. Anvar Shathik B.E., M.E., Ph.D., (P.D.F), M.I.S.T.E.,

Professor & Head

anvarshathik@anjuman.edu.in / hodcse.aitm@anjuman.edu.in
Mobile : +91 9840407989