Work with a corporate and get work experience certificate
Earn monthly stipend
Acquire domain specific skills and get placement assistance
Automotive, Retail, Manufacturing, Electronics, Auto Ancillaries, and more
The Master of Science (M.Sc.) in Data Science program with an internship component offers a comprehensive and hands-on approach to learning the intricacies of data analysis, interpretation, and application. This degree is designed for individuals seeking to deepen their understanding of data-driven decision-making and gain practical experience in real-world settings.
Throughout the program, students engage with a diverse range of courses covering fundamental principles such as statistical analysis, machine learning, data visualization, and big data technologies. These courses are structured to provide a strong foundation in both theoretical concepts and practical skills, equipping students with the tools needed to extract meaningful insights from complex data sets.
One of the key highlights of masters program for data analytics is the integrated internship component. This internship allows students to apply their knowledge and skills in a professional environment, gaining invaluable hands-on experience under the guidance of industry experts.
Develop a deep understanding of statistical analysis techniques for data interpretation.
Master machine learning algorithms and their applications in data modeling and prediction.
Acquire proficiency in data visualization tools and techniques to communicate insights effectively.
Gain hands-on experience with big data technologies for processing and analyzing large datasets.
Explore advanced topics such as deep learning, natural language processing, and computer vision.
Apply data science methodologies to solve real-world problems and make data-driven decisions.
Masters in Data SCience students develop programming skills in languages like Python, R, and SQL for data manipulation and analysis.
Understand ethical and legal considerations in data science, including privacy and data security
Demonstrate proficiency in conducting statistical analyses and interpreting results accurately.
Apply machine learning algorithms to solve complex data problems and improve predictive models.
Create visually appealing and informative data visualizations to convey insights to diverse stakeholders.
M.Sc Data Science prepares students to utilize big data technologies such as Hadoop and Spark for efficient data processing and analysis.
Implement advanced data science techniques like deep learning and natural language processing for sophisticated data analysis tasks.
Evaluate ethical implications and legal frameworks related to data collection, usage, and dissemination.
₹ 50,000 *
(per
Semester)
*Note : Additionally Apprenticeship Fee of ₹ 5,000 per year is applicable
