Master’s Degree in Artificial Intelligence and Data Science

Join this  Master’s program in AI & Data Science, offered by Jindal Global University (JGU), ranked as India’s #1 Private University (QS 2023 World University Rankings). This MS DS program blends theory with real-world application through 15+ projects and case studies and 500+ hours of learning.

Join this  Master’s program in AI & Data Science, offered by Jindal Global University (JGU), ranked as India’s #1 Private University (QS 2023 World University Rankings). This MS DS program blends theory with real-world application through 15+ projects and case studies and 500+ hours of learning.

Designed by distinguished Padma Shri awardee, Prof. (Dr.) Dinesh Singh, the curriculum of this AI masters degree covers machine learning, deep learning, and Generative AI.

Throughout the program, you’ll master 15+ industry-relevant tools, including Python, Power BI, and Tableau, and earn a complimentary Microsoft Certification to enhance your professional profile. Whether you're starting from the basics or expanding your expertise, this 1-year MS in data science and AI program equips you to tackle real business-world challenges.

Key Program Highlights

• Hours of Learning: Engage in 500+ hours of learning through live sessions, recorded content, and practical exercises.
• Industry Tools: Master 15+ industry-standard tools, including Python, Power BI, Tableau, and more, to become proficient in AI and data analytics.
• Recognized Degree: Graduate with a Master in Data Science and AI degree from Jindal Global University, recognized as an Institute of Eminence by the Government of India. JGU ranks among India’s elite institutions, ensuring your qualification holds national and international credibility.
• Certifications: Earn a complementary Microsoft Certification to enhance your professional credentials
• Flexibility: Designed for working professionals, this Data Scientist Masters Program online offers a blend of live sessions and self-paced learning to fit into your schedule.

O.P. Jindal Global University (JGU) – one of the top universities for Masters in Data Science – offers an MSc in data science and AI, in association with upGrad, that stands out for its credentials, expert faculty, and industry-focused learning.

O.P. Jindal Global University (JGU) – one of the top universities for Masters in Data Science – offers an MSc in data science and AI, in association with upGrad, that stands out for its credentials, expert faculty, and industry-focused learning.

1. Prestigious Accolades and Recognitions

• Institution of Eminence: JGU has been recognized as an ‘Institution of Eminence’ by the Government of India, reinforcing its commitment to world-class education and research.
• Top Private University: Ranked as India’s No.1 Private University by the QS World University Rankings 2023, JGU has maintained this position for three consecutive years.
• Global Young University Ranking: JGU was among the top 150 ‘Young Universities in the World’ (under 50 years of age) as per the QS Young University Rankings 2022.
• Global Recognition for Employability: JGU ranks among the Top 500 universities worldwide for Graduate Employability according to the QS Rankings 2022, reflecting the strong career outcomes of its graduates.

2. World-Class Faculty and Research Excellence

• Distinguished Educators: Learn from esteemed faculty who bring a wealth of knowledge and practical insights to the program.
  
• Research Opportunities: Engage in cutting-edge research facilitated by JGU’s robust academic environment, promoting innovation and critical thinking
  

3. Global Collaborations and Exposure

• Benefit from JGU’s collaborations with over 475 top-ranked universities across more than 75 countries, providing a global perspective to your education.

This MS in data science and AI program from Jindal Global University combines theoretical foundations, hands-on experience, and industry-relevant tools to make you job-ready in just 12 months.

This MS in data science and AI program from Jindal Global University combines theoretical foundations, hands-on experience, and industry-relevant tools to make you job-ready in just 12 months.

Whether you're solving complex business problems or developing AI models, these skills will set you apart.

• Python Programming for Data Science: Build proficiency in Python and key libraries for data manipulation, analysis, and machine learning.
• Probability and Statistics: Master statistical analysis, hypothesis testing, and probability to interpret and analyze data accurately.
• Data Visualization and Business Intelligence: Develop skills in tools like Power BI, Excel, and Tableau to visualize insights and create compelling data stories.
• Machine Learning and AI Models: Learn to build, train, and optimize machine learning models, including regression, classification, and clustering.
• Deep Learning and Neural Networks: Apply deep learning techniques to tasks like image recognition, natural language processing, and more.
• Big Data Analytics: Handle and analyze large-scale datasets using distributed computing techniques and modern data processing frameworks.
• Generative AI Applications: Utilize Generative AI tools to enhance coding efficiency and create innovative solutions in data science.
• Database Management: Learn structured data management, SQL queries, and database optimization techniques.
• Microsoft Certification Skills: Develop competencies aligned with a complementary Microsoft Certification to boost your professional credentials.
• Analytical Thinking and Problem-Solving: Enhance your ability to break down complex problems, identify patterns, and deliver data-driven solutions.
• Data Storytelling: Communicate insights effectively to stakeholders through clear narratives and impactful visualizations.

What Tools Will You Learn?

This Masters in AI and DS equips you with hands-on experience in 15+ industry-standard tools to excel in AI, data science, and analytics roles. You’ll gain proficiency in essential programming languages, data visualization platforms, and advanced analytics tools used by leading organizations.

Here’s a snapshot of the tools covered.

Programming Languages and Libraries

• Python: Core programming language for data science and machine learning.
• Scikit-Learn: Essential for implementing machine learning models.
• NumPy and Pandas: Libraries for data manipulation and analysis.
• Matplotlib and Seaborn: Libraries for data visualization and statistical plotting.

Data Visualization and Business Intelligence

• Power BI: Create interactive dashboards and business intelligence reports.
  
• Tableau: Build powerful visualizations to communicate data insights effectively.
• Excel: Conduct data analysis, statistical modeling, and visualization.

Big Data and Databases

• SQL: Manage and query structured databases for efficient data retrieval.
  
• Apache Spark: Perform large-scale data processing and analytics.

Deep Learning Frameworks

• TensorFlow: Develop and train deep learning models.
• Keras: Simplifies building neural networks for AI applications.

Generative AI Tools and Microsoft Certification Tools

• Explore tools and frameworks that enhance coding efficiency and AI-driven data solutions.
  
• Gain proficiency in tools aligned with a complementary Microsoft Certification to strengthen your professional credentials.
  

By mastering these tools, you’ll be prepared to tackle complex data challenges and deliver AI-driven solutions across industries.

Online platforms offer unmatched advantages when pursuing Masters programs in Artificial Intelligence and Data Science, blending flexibility, accessibility, and industry relevance.

Online platforms offer unmatched advantages when pursuing Masters programs in Artificial Intelligence and Data Science, blending flexibility, accessibility, and industry relevance.

Here’s why an online learning model is the smart choice for advancing your career.

1. Flexibility Tailored for Working Professionals

As per a recent study by EducationDynamics, 58% of online college students are employed full-time, and 21% are employed part-time. It’s the flexibility that online set-up offers (with classes that are designed around their work hours) that makes online education so popular among working professionals.

The online master’s degree by JGU, offers live sessions scheduled on weekends and recorded content available 24/7. The champion benefits? You can learn at your own pace without compromising your career.

2. Higher Retention and Compeltion Rates

Online programs are designed to be interactive and engaging, leading to better learning outcomes.

Here’s what recent research shows.

• Online courses improve retention rates by up to 60%, compared to just 8-10% for traditional in-person learning.

• Around 72% of students who enroll in online programs confess that their program made them ready for real-world job challenges and helped them excel in their careers.

3. Cost-Effectiveness and Return on Investment

Pursuing an online Master in Data Science and AI degree is significantly more cost effective than traditional on-campus programs.

Online programs can reduce educational expenses by at least 25%, eliminating costs related to relocation, commuting, and campus housing. In fact, as per Education Data Initiative, private institutions that charge almost USD 198,616 for an on-campus degree charge approximately USD 62,756 for the same degree through online learning.

4. Global Networking and Industry Exposure

Online learning lets you connect with professionals, faculty, and industry leaders from around the world. This global exposure provides incredible opportunities.

• Opportunities to collaborate with professionals across countries, expanding your professional network and insights.

• Access to global academic partnerships – 475+ in case of JGUs master of science in Artificial Intelligence and DS program – enhancing your learning experience with international perspectives.

5. Technology-Enhanced Learning Experience

Modern online platforms such as upGrad offer advanced learning tools and resources.

• AI-driven platforms enhance personalization, ensuring each learner receives tailored support and feedback.
  

• Features like interactive dashboards and simulation-based learning ensure a rich, immersive experience that rivals in-person education.