M.Tech CSE – Data Science

About

The MTech CSE in Data Science at The NorthCap University (NCU), Gurugram is a cutting-edge master’s in data science programme designed to equip students with advanced expertise in data science, machine learning, and AI-driven analytics. With the data analytics market projected to grow at a CAGR of 30.08% by 2023, and the big data industry forecasted to reach $274.3 billion globally, the demand for professionals with a data scientist master’s degree continues to surge.

This master’s degree in data science offers a comprehensive curriculum that blends theoretical foundations with hands-on industry exposure, covering domains such as healthcare, finance, bioinformatics, cybersecurity, and business intelligence. Students gain expertise in machine learning, deep learning, big data frameworks, natural language processing (NLP), and AI-powered decision-making.

NCU’s industry-focused approach ensures students master essential tools and programming languages like Python, R, SQL, Spark, Hadoop, and cloud computing platforms, enabling them to analyse and extract meaningful insights from complex datasets. The programme offers flexibility, with two-year full-time and three-year part-time options, catering to both recent graduates and working professionals pursuing a post-graduation in data science.

With internships, industry collaborations, and research-focused projects, this MTech CSE in Data Science programme is ideal for those looking to build careers as Data Scientists, AI Specialists, Machine Learning Engineers, and Business Intelligence Analysts in leading tech firms, research labs, and global corporations.

Highlights

• • Comprehensive Curriculum:

• • • Covers core data science topics, including machine learning, deep learning, natural language processing (NLP), big data analytics, and AI-driven decision-making.
    • Industry-aligned electives such as Business Analytics, Neural Networks, Cloud Data Engineering, and Data Visualisation.

• Hands-on Learning & Industry Tools:

• • • Training in Python, R, SQL, Spark, Hadoop, TensorFlow, and cloud computing.
    • Real-world projects, case studies, and internships with leading industry partners.

• Industry-Oriented Learning:

• • • Designed with industry experts to ensure alignment with evolving technological trends.
    • Focuses on practical applications of AI in business, healthcare, cybersecurity, and e-commerce.

• Project-Based Learning & Research:

• • • Research-based dissertation work and minor projects guided by industry mentors and faculty experts.
    • Opportunities to publish research papers in leading conferences and journals.

• Global Certifications & Competitions:

• • • Participation in data science hackathons, AI challenges, and Kaggle competitions.
    • Encouragement to obtain global certifications in AI, cloud computing, and big data technologies.

• State-of-the-Art Infrastructure:

• • Access to well-equipped data science labs, cloud computing environments, and AI research centers.

By integrating technical expertise, hands-on training, and industry exposure, the MTech in Data Science at NCU prepares students for lucrative roles in AI, big data analytics, and cutting-edge research.

Curriculum – Detailed Programme Structure

The curriculum is industry-aligned, covering core computational foundations, data science methodologies, and advanced AI applications, ensuring students gain expertise in cutting-edge technologies. It is structured into the following key areas:

Core Courses

Students build a strong foundation in computational principles and research methodologies essential for data science applications.

• Mathematical Foundations of Computer Science
• Advanced Data Structures & Algorithms
• Soft Computing
• Research Methodology & Seminar

Programme Electives

Students can specialise in emerging data science domains, selecting from a range of advanced topics tailored to industry demands.

• Foundation of Data Science – Basics of data-driven problem-solving.
• Statistics with Python – Application of statistical models using Python.
• Data Engineering & Business Analytics – Handling large-scale structured and unstructured data.
• Advanced Machine Learning & Neural Networks – Implementing deep learning models.
• Big Data Analytics – Leveraging Hadoop, Spark, and cloud-based data processing.
• Computer Vision & Deep Learning – AI-powered image recognition and processing.

Projects & Dissertation

Practical projects ensure students apply their knowledge to real-world challenges, fostering innovation and research capabilities.

• Minor Project – Hands-on application of data science concepts.
• Dissertation (Phase-1 & Phase-2) – In-depth research project with expert mentorship, contributing to industry and academia.

Open Electives

Students can broaden their knowledge by choosing interdisciplinary electives from university-wide offerings.

Programme Educational Objectives (PEOs)

• To provide technical expertise in Computer Science & Engineering and infuse soft skills in our students to facilitate them professionally.
• To transform graduates into industry-ready professionals and competent researchers.
• To imbibe high standard of ethical and professional conduct, positive attitude, team spirit and societal responsibilities.
• To up skill our students and tune them for performing efficiently in various roles of their social, professional and ethical obligations.

Programme Outcomes (POs)

Upon completion of the MTech in Data Science, graduates will be able to:

• Master Advanced Data Science Concepts – Gain in-depth knowledge in AI, machine learning, deep learning, and NLP.
• Apply Predictive Analytics – Use big data technologies to extract insights and make data-driven decisions.
• Develop Scalable AI Solutions – Build AI-powered models for healthcare, finance, e-commerce, and cybersecurity applications.
• Utilise Cutting-Edge Data Science Tools – Work with Python, R, SQL, Hadoop, Spark, and cloud-based analytics.
• Engage in Research & Innovation – Contribute to scientific research in AI and publish in top-tier journals.
• Solve Complex Business Challenges – Apply business analytics and machine learning models to optimise real-world processes.
• Excel in Multidisciplinary Collaboration – Work effectively in team-based, interdisciplinary projects integrating AI and data science.
• Communicate Data Insights Effectively – Present findings using data visualisation and business intelligence tools.
• Demonstrate Ethical & Responsible AI Practices – Ensure privacy, fairness, and accountability in AI-driven decision-making.
• Pursue Higher Studies or Entrepreneurship – Graduates can explore PhD programmes, AI startups, or leadership roles in data-driven enterprises.

Career Opportunities After Course Completion

Graduates of MTech in Data Science will have high-paying opportunities across multiple industries, including technology, healthcare, finance, and e-commerce.

Job Roles:

✔ Data Scientist – Building machine learning models and AI-driven solutions.
✔ Machine Learning Engineer – Developing AI applications for automation.
✔ AI Specialist – Enhancing business intelligence and predictive analytics.
✔ Business Intelligence Analyst – Analysing and visualising business data.
✔ Big Data Engineer – Working with Hadoop, Spark, and distributed databases.
✔ Cloud Data Engineer – Managing large-scale data storage and computing.
✔ Research Scientist (AI & Data Science) – Conducting AI-based research in academia and industry.

Top Recruiting Companies:

✔ Google
✔ Amazon
✔ Microsoft
✔ Facebook
✔ IBM
✔ TCS
✔ Infosys
✔ Accenture
✔ KPMG
✔ Deloitte

With global demand for AI and data science experts skyrocketing, NCU graduates will be well-positioned for top-tier roles in global technology firms and research institutions.

Why Choose NCU for MTech – CSE Data Science?

The MTech CSE with Specialisation in Data Science at The NorthCap University (NCU) offers an industry-aligned, research-driven curriculum designed to equip students with cutting-edge AI, machine learning, and big data analytics expertise.

✔ Future-Ready Curriculum – Covers machine learning, deep learning, big data, and AI-driven decision-making, preparing students for high-demand roles.
✔ Hands-on Learning – Practical exposure to Hadoop, Spark, TensorFlow, Python, and real-world research projects.
✔ Expert Faculty & Industry Mentorship – Learn from renowned academicians and industry leaders guiding students in real-world AI applications.
✔ Advanced Infrastructure – Access to high-performance computing labs, big data analytics labs, and cloud computing resources.
✔ Strong Industry & Research Collaborations – Partnerships with leading tech firms and startups provide internships and placement opportunities.
✔ Flexible Learning for Professionals – A part-time study option allows working professionals to upskill without career disruptions.
✔ Entrepreneurial & Career Support – Incubation programmes, networking events, and AI-driven innovation labs enable global career growth and tech entrepreneurship.

NCU’s MTech in Data Science is your gateway to a high-impact career in AI, analytics, and big data.