Masters In Data Science is a career-defining program designed to equip students with cutting-edge skills in data analysis, machine learning, and artificial intelligence. This Academia & Industry structured roadmap guides students from foundational knowledge to advanced industry-ready expertise.
The MS Data Science program offers a well-structured curriculum that blends core and elective courses, Drawing from a diverse pool of subjects, the curriculum is designed with a modern and industry-aligned approach, emphasizing:
The SVU_Exfedu Collaborative MS Data Science Programme is uniquely designed to bridge the gap between academic learning and industry expectations.
This program focuses on an 80% hands-on learning model, empowering students to gain practical exposure in mastering the latest Data Science tools, technologies, and techniques.
By solving real-world business challenges, students will develop advanced problem-solving skills, making them industry-ready and highly competitive in the global job market.
Note: Applicants must submit valid proof of experience, such as an experience or appointment letter dated at least 12 months prior to the application.
As a division of Exafluence Inc. USA, Exfedu main objective is to bridge the gap between academia and industry and meet the growing demand for skilled Data Science professionals.
This programme cater the students to learn the new learning technologies in Data Science to upskill the abilities of real-time career opportunities.
The Certificate in Cloud Technologies by Exafluence Education is designed to equip learners with in-demand skills in cloud computing , a technology reshaping industries with scalable, secure, and cost-effective solutions. This program blends industry-relevant knowledge with hands-on practice, empowering learners to thrive in a cloud-first world.
The demand for data scientists continues to grow as organizations seek to leverage the power of data for insights, decision-making, and problem-solving.,
Gather, analyze, and interpret large datasets to uncover insights and solve business challenges. They use statistical methods, machine learning, and programming to build predictive models and provide data-driven solutions.
Analyze data to find patterns and trends. They clean, transform, and interpret both structured and unstructured data, creating reports and visualizations to present findings. They may also help design data collection methods and databases.
engineers develop and deploy models to solve business problems. They focus on training, optimizing, and integrating algorithms into production systems, requiring expertise in machine learning techniques, programming, and relevant tools.
analysts use data analysis and visualization to provide insights for decision-making. They create dashboards, reports, and work with stakeholders to identify business needs and improvement opportunities.
Design, build, and maintain systems for efficient data collection, storage, and processing. They work with big data technologies, develop data pipelines, and ensure data quality. They collaborate with data scientists and analysts to provide reliable, accessible data.
Help clients leverage data for strategic decisions and business growth. They provide expertise in data analysis, develop tailored solutions, and offer data-driven recommendations. Strong communication and problem-solving skills are key for working with diverse clients.
A. Common Online Entrance Test Through APPGCET
B. Common Online Proctored Entrance Test by Directorate of Admissions, SV University, Tirupati
Register here for AY 2025 July Spell Admission Process
NOTE: The Collaborative Data Science Programmes are Self Supporting Programmes. No Govt. Scholarships Applicable.
80% Practical Learning
20% Theoretical Foundation
Online Sessions
Industry Professionals & Mentors
LMS access course materials, lecture videos, and study resources 24/7
This progressive learning model enables students to build their expertise step-by-step from fundamental concepts to advanced domain knowledge.
In the final semester, students undertake a Capstone Project, where they apply their accumulated knowledge to solve real-world business challenges. This project helps reinforce key principles through hands-on problem-solving and practical application preparing students for industry roles with confidence.
Mentorship and guidance from Exafluence industry experts, & associates coupled with case studies, real-time projects, and industry exposure, significantly enhance the learning experience.
Upon successful completion of the programme, students will receive the following certifications: