COURSE OVERVIEW
The M. Tech in Data Science is a cutting-edge postgraduate program designed to equip students with advanced knowledge and skills in the field of data analysis, machine learning, and computational intelligence. Blending theoretical foundations with hands-on training, the program emphasizes real-world applications of data science in diverse industries. With a strong focus on statistics, programming, big data technologies, and domain-specific analytics, students will emerge as proficient data professionals ready to tackle complex problems in a data-driven world.
Programme Objectives
- To develop a strong foundation in data science concepts including statistics, machine learning, and data mining.
- To provide practical exposure to tools and technologies such as Python, R, SQL, Hadoop, Spark, and TensorFlow.
- To encourage research and innovation in data-driven problem solving and intelligent systems.
- To prepare students for interdisciplinary roles in academia, industry, and entrepreneurship involving data analytics and artificial intelligence.
- To cultivate ethical and socially responsible data science professionals.
PROGRAMME HIGHLIGHTS
Programme Curriculum
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Semester - I +
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3 Week Induction Program Course Code Course Name Periods per week
Credits Hours per week L T P MTDT6501 Mathematical Foundations of Data Science 2 1 0 3 3 SOTT6301 Advanced Data Structures and Algorithms 2 1 0 3 3 Program Elective-I MTDT6601a Programming for Data Science 3 0 0 3 3 MTDT6601b Data Engineering and Databases MTDT6601c Machine Learning and AI Program Elective-II MTDT6602a AI and Decision-Making Models 3 0 0 3 3 MTDT6602b Data Preparation and Analysis MTDT6602c Data Visualization and Communication SOTT6374 Research Methodology and IPC 2 0 0 2 2 SOTT6303 Human Values & Professional Ethics (Audit Course – I)
2 0 0 0 2 MTDS6501/MTDC6501 Technical Seminar/Case Study -1 1 0 0 1 1 SOTL6301 Advanced Data Structures and Algorithms Lab 0 0 4 2 4 MTDL6501 Programming for Data Science Lab 0 0 4 2 4 — Mentoring 0 0 0 0 1 — Library 0 0 0 0 2 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Co-curricular activity 0 0 0 0 2 — Self-Learning 0 0 0 0 2 TOTAL 15 2 8 19 36
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Semester - II +
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Course Code Course Name Periods per week
Credits Hours per week L T P SOTT6304 Advanced Machine Learning 2 1 0 3 3 MTDT6504 Big Data Analytics 2 1 0 3 3 Program Elective-III MTDT6603a Ethical AI and Decision Making 3 0 0 3 3 MTDT6603b Time Series Analysis MTDT6603c Text Analytics Program Elective-IV MTDT6604a Predictive and Perspective Analytics 3 0 0 3 3 MTDT6604b Edge AI and IoT Analytics MTDT6604c Data Privacy and Security SOTT6305 English for Research Paper Writing (Audit Course-2)
2 0 0 0 2 MTDP6501 Mini project 0 0 8 4 8 SOTL6302 Advanced Machine Learning Lab 0 0 4 2 4 MTDL6502 Big Data Analytics Lab 0 0 4 2 4 — Mentoring 0 0 0 0 1 — Co-curricular activity 0 0 0 0 1 — Self-Learning 0 0 0 0 1 — Extra-curricular activities 0 0 0 0 2 — Library 0 0 0 0 1 TOTAL 12 2 16s 18 36
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Semester - III +
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Course Code Course Name Periods per week
Credits Hours per week L T P MTDM7501 MOOC-1 3 0 0 3 3 MTDM7502 MOOC -2 3 0 0 3 3 MTDP7501 Dissertation I / Industrial Project 0 0 20 10 20 — Mentoring 0 0 0 0 1 — Co-curricular activity 0 0 0 0 2 — Self-Learning 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Soft Skills Training 0 0 0 0 1 — Certification Course 0 0 0 0 1 TOTAL 6 0 20 16 36
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Semester - III +
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Course Code Course Name Periods per week
Credits Hours per week L T P MTDP7502 Dissertation Phase II 0 0 32 16 32 TOTAL 0 0 32 16 32
PROGRAMME FEE AND SCHOLARSHIPS
| One Time Fee | Admission Fee | ₹10,000 |
| Year I | Tuition Fee + Annual Recurring Fee | ₹ 1,50,000 + ₹ 13,000 |
| Year II | Tuition Fee + Annual Recurring Fee | ₹ 1,50,000 + ₹ 13,000 |
| Total Programme Fee (2 Years) | ₹ 3,36,000 |
Scholarship is available for eligible students
Admissions are conducted in two modes:
1. Convener Quota: As per the Andhra Pradesh Private Universities Act, through the Government of Andhra Pradesh.
2. University Quota: Based on the TAU entrance exam or recognized national-level exams.
Eligibility
Pass with 50% aggregate marks (45% for reserved categories) in B.Tech. (Computer Science and Engineering or Information Technology or Electronics and Communication Engineering or Electrical and Electronics Engineering) or MCA or M.Sc. (Information Technology or Computer Science) or equivalent.
EMPLOYABILITY AREAS
Graduates of the M. Tech in Data Science program can explore careers in:
- Data Science Expert & Data Analyst
- Artificial Intelligence & Machine Learning
- Business Analyst
- Big Data Engineering
- Data Engineering
- Research & Development
- Healthcare Analytics
- Financial Services & Fintech
- Retail & E-commerce Analytics
- Government & Smart City Projects
FAQs
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Is this programme approved by UGC?
+ -Yes. The Apollo University is established under the Andhra Pradesh Private Universities Act and is UGC-recognised, making sure its M.Tech. Data Science programme is valid and approved.
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Is M.Tech. in Data Science worth it?
+ -Yes. M.Tech. in Data Science is worth it due to the high demand across industries. It equips students with skills in machine learning, big data and analytics, preparing them for top roles in tech, healthcare, finance and research.
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M.Tech. in Data Science or Machine Learning – which is best for the future?
+ -Both are future-proof, but M.Tech. in Data Science offers broader applications across sectors, including ML, AI, big data and analytics. It provides more career flexibility compared to the more specialised Machine Learning track.
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What is the duration of the M.Tech. Data Science programme?
+ -The programme lasts for 2 years, divided into four semesters. It includes coursework, hands-on labs, case studies, internships, research projects and dissertation phases for real-world industry exposure.
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What career opportunities are available after completing the M.Tech. Data Science programme?
+ -Graduates can become Data Scientists, Big Data Engineers, Business Analysts, ML Engineers, AI Specialists, or work in R&D, Healthcare Analytics, FinTech, Smart City Projects, and eCommerce.
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What are the eligibility criteria for the M.Tech. Data Science programme?
+ -Candidates must have 50% marks (45% for reserved categories) in B.Tech (CSE/IT/ECE/EEE),
MCA, or M.Sc. (CS/IT) or equivalent. Admission is via The Apollo University’s entrance exam or a national-level exam.
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What is the scope of M.Tech. in Data Science?
+ -The scope is vast, with roles in AI, big data, automation, finance, healthcare, retail and smart technologies. Data science expertise is in high demand across the public and private sectors globally.
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What is the salary of an M.Tech Data Science in India?
+ -Entry-level salaries typically range from ₹6–12 LPA. With experience, professionals can earn ₹20+ LPA, especially in top firms like Google, Amazon, TCS, Infosys and consulting companies.
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Which university is best for M.Tech in Data Science?
+ -The Apollo University offers a strong industry-aligned curriculum, hands-on labs and internship opportunities. It’s a great choice for those seeking modern education with practical and research exposure in data science.
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What is the admission process for M.Tech Data Science at The Apollo University?
+ -Admission is via The Apollo University’s entrance exam or national-level exams. Two modes are available: Convener Quota (via state government) and University Quota (direct). Eligible candidates apply online and go through counseling and document verification.