Master Data,
the Future
of the Next Tech Revolution!
Admission Open For
M.Sc in Data Science
Dayananda Sagar Institutions founded in the 60's by one such visionary, late Sri Dayananda Sagar committed to take knowledge to the people, transforming today’s students into responsible citizens and professional leaders of tomorrow. Dayananda Sagar University (DSU), established by an Act of the Karnataka State in 2014, built on this adorable legacy and inspired by its own milestones, meeting the needs of quality higher education in this part of the world. This main campus is thoughtfully planned on 130 acres,with a picturesque site and a blossoming green environment, making it free from city crowds and pollution. Being a completely self-contained campus adjacent to Harohalli (45 kms from Bengaluru city), it is equipped with all the modern state-of-the-art infrastructure, creating a conducive environment for progressive experiential learning and transforming you into next-generation innovators, explorers, leaders, and researchers.
Founded in 2016, the School of Computer Applications at Dayananda Sagar University has quickly grown into a leading center for Information Technology education. Dedicated to fostering innovation and technical excellence, our programs, including the B.Sc. Data Science undergraduate degrees are designed to equip students with the knowledge and skills needed to excel in the fast-evolving IT landscape. Our Bachelor's in Data Science curriculum focuses on hands-on learning, industry exposure, and skill development, ensuring that students gain a practical understanding of modern technologies and industry-relevant competencies.
Our courses, including the MSc Data Science are regularly updated to reflect industry trends, preparing students for current and future tech demands. The full time MSc Data Science program covers critical areas such as machine learning and data analysis.
Through labs, projects, and internships, students gain practical experience that complements their academic knowledge, particularly in MSc in Data Science course curriculum.
The school actively encourages student and faculty involvement in research, fostering innovation and contributing to advancements in computer science and IT.
Our programs, including MSc in Data Science, equip students with a global outlook and the skills needed to contribute to societal progress.
We emphasize ethical practices and leadership, preparing students for successful careers with integrity, particularly in the evolving field of Data Science.
The M.Sc. (Data Science) program provides a robust foundation in data management, machine learning, and natural language processing. Students will gain proficiency in essential programming languages and tools such as Python, Tableau, Power BI, and SQL. The MSc in Data Science course curriculum also covers advanced topics like Bayesian Inference, Big Data Security, and the Internet of Things (IoT). This program equips graduates with the analytical and technical skills necessary to interpret complex datasets, derive actionable insights, and support data-driven decision-making across diverse industries.
Track-1
Track-2
Track-3
B.E / B.Tech in ECE / IT / EEE / CSE / ISE / TE / BCA / M.Sc or B.Sc in Computer Science / Mathematics / Statistics / Information Science / Information Technology with a minimum of 50% (45% in case of SC/ST) marks in aggregate from any recognized University / Institution or AMIE or any other qualification recognized as equivalent thereto.
To comprehend the foundational concepts
in Mathematics, Statistics, and Computer Science essential for understanding data science theories.
To identify, analyze, and devise innovative solutions
for data science challenges by applying principles from Mathematics, Statistics, Computing, and interdisciplinary domains.
To develop proficiency in advanced computing software,
including R and Python, for effective big data analytics and accurate interpretation of results.
To implement data science theories
in addressing societal and environmental challenges, while emphasizing the importance of data management, ethical considerations, and adherence to professional standards and cyber regulations.
Demand for Data Science in Bangalore: In Bangalore, data is the heartbeat of a vibrant tech industry, offering a spectrum of roles from data analysis to AI and machine learning. This city not only fosters career development but also encourages the continuous evolution of skills, keeping professionals at the forefront of the global data science landscape .
Thriving Data Center Hub: Bangalore is India's second-largest data center hub, with a total area of 3.8 million square feet and a capacity of 190 MW (as of 2023-24). It offers vast resources and connectivity, providing students in their Data Science bachelor’s degree journey.
Growing Data Ecosystem: Bangalore is projected to house about 2.5 million square feet of data center space by 2025 (as per industry report), the city fosters a thriving job market, expanding Data Science degree career opportunities.
High Earning Potential: The estimated total pay for a data scientist professional in the Bangalore area is around INR 17,00,000 per year, with an average annual salary of INR 15,00,000 (as per Glassdoor Report)
Rising Data Startups: Bangalore has seen the growth of over 150 data-centric startups in recent years, indicating a robust entrepreneurial ecosystem that creates job opportunities for data science graduates.
