MSC in Data Science – Your Pathway to Advanced Data Expertise
Build deep expertise in data analysis, AI, and predictive modelling. This program prepares you to turn complex data into powerful business intelligence and drive smarter decisions.
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Why Choose This Program
- Learn data science from expert practitioners
- Build strong modelling and ML fundamentals
- Work on real data engineering and analytics tasks
- Improve problem-solving and quantitative skills
- Flexible program designed for busy learners
- Resume and placement support included
- Attend AI and data science expert sessions
- Practice through mock interviews and tasks
- Become job-ready for analytics and data roles
Reserve Your Spot
*No cost EMI
The Overview of MSC in Data Science
Enter the World of Advanced Data Intelligence
The MSC in Data Science at Teksversity helps learners build strong analytical, computational, and statistical abilities essential for modern data environments. Students work with machine learning models, big data platforms, visualization tools, and predictive analytics through simulation-based and project-driven learning. The curriculum strengthens the ability to interpret data, build automated workflows, and support complex decision-making. Designed for working individuals, this master of science in data science online program prepares learners for careers in AI, analytics, engineering, and data-led strategy across global industries.
Understand ML, data engineering, and analytics workflows
Use tools for modelling, dashboards, and automation
Strengthen statistical and computational analysis
Apply ethical and responsible data practices
Develop leadership for technical data roles
Why Choose MSC in Data Science in Teksversity?
Teksversity offers a practical, industry-focused MSC in Data Science that combines advanced analytics, machine learning, automation techniques, and data engineering tools. Students work on case studies, simulations, and model-building exercises that replicate real industry applications, helping them strengthen hands-on expertise.
Key Highlights of MSC in Data Science
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Learning Experience
- Case studies on ML, analytics, and data modelling
- Projects on dashboards, pipelines, and automation
- Workshops on data tools and cloud technologies
- Leadership training in analytical communication
- Sessions led by data science professionals
Support & Assistance
- One-on-one mentoring from data experts
- 24/7 access to study resources and tools
- Recorded classes for flexible revision
- Personalized support for academic growth
- Internship assistance for data science roles
Career Support
- Placement help for data and analytics careers
- Resume building for technical job roles
- Mock interviews led by industry experts
- Career mapping for relevant opportunities
- Leadership and professional readiness
Networking & Peer Learning
- Webinars with AI and data industry experts
- Peer collaboration on modelling tasks
- Alumni sessions with data professionals
- Group tasks on ML and strategy models
- Global networking through virtual events
Learning Experience
- Case studies on ML, analytics, and data modelling
- Projects on dashboards, pipelines, and automation
- Workshops on data tools and cloud technologies
- Leadership training in analytical communication
- Sessions led by data science professionals
Download Our Course Brochure
Download the detailed MSC in Data Science brochure to explore program modules, tools, projects, assessments, admissions, and placement support. Learn how this online master's degree in data science helps you build the expertise needed for analytics, engineering, and AI-driven careers.
What You’ll Get in the Brochure:
- Complete program structure and module list
- Data science and engineering career pathways
- Admission and eligibility information
- Internship & placement support details
- Tools, faculty, and learning structure
Offering Universities
University
Accreditations
Rating
Duration
Course Fee
Action
ISONAAC A++UGCAICTE
4.8
24 months 4 sem
₹2,50,000
Total program fee
Teksversity Online Admission Process
Starting your academic journey is now simpler than ever with our streamlined online admission process. This guide outlines the straightforward steps, from creating your personal student account and submitting basic application details to uploading necessary documents and completing the secure fee payment, all leading to a quick verification and instant admission confirmation.
Guide to Online Admission Process
Step 1
Sign Up
Create your personal student account
Step 1
Sign Up
Create your personal student account
Step 2
Fill Online Application
Enter your basic details online
Step 2
Fill Online Application
Enter your basic details online
Step 3
Upload Documents
Submit required certificates and ID proofs.
Step 3
Upload Documents
Submit required certificates and ID proofs.
Step 4
Fees Submission
Complete secure online payment easily
Step 4
Fees Submission
Complete secure online payment easily
Step 5
Document Verification
Quick review of documents and payment
Step 5
Document Verification
Quick review of documents and payment
Step 6
Admission Confirmation
Get instant confirmation of admission
Step 6
Admission Confirmation
Get instant confirmation of admission
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Frequently asked Questions
An MSc in Data Science is a postgraduate program that focuses on statistical analysis, machine learning, data engineering, programming, data visualization, and advanced analytics. It prepares students to solve real-world problems using data-driven insights.
Students with a background in Computer Science, IT, Mathematics, Statistics, Engineering, or related fields can pursue MSc Data Science. Candidates with strong analytical and mathematical skills are ideal for this program.
The program typically lasts 2 years, divided into semesters that include theory, practical labs, analytics projects, internships, and a final capstone project.
The syllabus includes Statistics, Python Programming, Machine Learning, Deep Learning, Data Mining, Data Visualization, Big Data Analytics, Cloud Computing, NLP, and Predictive Modeling.
You will gain skills in programming (Python, R), statistical modeling, data wrangling, machine learning algorithms, neural networks, data visualization tools, SQL, big data platforms, and cloud-based analytics deployment.
Graduates can work as Data Scientists, ML Engineers, Data Analysts, AI Engineers, Data Engineers, Research Analysts, Business Analysts, and Big Data Specialists across IT, finance, healthcare, retail, e-commerce, and more.
Candidates must hold a bachelor’s degree in Computer Science, IT, Statistics, Mathematics, Engineering, or any quantitative field. Some institutions require entrance exams or merit-based admission.
Yes. Students work on real datasets, machine learning projects, big data tools, cloud platforms, data pipelines, and a final capstone project to gain industry-ready practical skills.
You will learn Python, R, TensorFlow, PyTorch, Scikit-Learn, SQL, Hadoop, Spark, Power BI, Tableau, Jupyter Notebook, AWS, Azure, and Google Cloud.
Data Science is one of the fastest-growing fields globally. Professionals have strong opportunities in AI, machine learning, automation, predictive analytics, cloud analytics, and advanced business intelligence roles across every major industry.
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Hyderabad | Kakinada
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