M.Tech Cloud Computing College in Bangalore, India - REVA University
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M. Tech. in Data Engineering & Cloud Computing - REVA University
M. Tech. in Data Engineering and Cloud Computing

M. Tech. in Data Engineering and Cloud Computing

Course Overview

A Data Scientist needs to be an expert in Computer science and software programming, written and verbal communication, probability and statistics and business domain. Since computer systems and storage capacity have turned out to be increasingly affordable over time, numerous solutions now utilize various computer systems which are cooperating together that are not very exorbitant to scale, rather than scaling solutions by acquiring a solitary super powerful and extremely costly computing machine.

When a specific group of computer systems are connected to the same network and are cooperating with each other to fulfill a similar assignment or set of undertakings, this is referred to as a cluster. A cluster can be thought of as a solitary computer system which can offer huge enhancements in performance, availability, and scalability. A cloud depicts the circumstance where an establishment or an individual owns, controls, and deals with a group of networked computer systems and shared resources to provide and host software-based solutions. Data science combines several disciplines, including statistics, data analysis, machine learning, and computer science. Data Science has applications in Computer vision, Text mining, NLP, Biomedical signal processing, robotics, Autonomous vehicles, Precision agriculture, business intelligence and so on. Data Science is considered as fourth paradigm of learning after empirical, theoretical, computational

The School of Computing and Information Technology at REVA UNIVERSITY offers M. Tech., in Data Engineering and Cloud Computing –a postgraduate programme to create motivated, innovative, creative and thinking graduates to fill the roles of Data Scientists who can conceptualize, design, analyze and develop computer software to process and analyse big data.

The M Tech programme in Data Engineering and Cloud Computing program covers specialized areas in the field of IT industry and research. The program focuses on technologies managing huge traditional and non-traditional data including temporal, spatial and multi-dimensional data. It also focuses on cloud computing concepts that feature subjects as well as projects that typically involve construction and experimentation with software prototypes.

Programme Educational Objectives (PEOs)

The aim of the programme is to produce postgraduates with advanced knowledge and understanding of Data Engineering and Cloud Computing; higher order critical, analytical, problem solving and transferable skills; ability to think rigorously and independently to meet higher level expectations of ICT industry, academics, research establishments or take up entrepreneurial route.

The Programme Educational Objectives are to prepare the students to:

  • be data scientists who can write programmes to process data for further analysis and use cloud computing technology
  • pursue doctoral research degree to work in colleges, universities as professors or as scientists in research establishments
  • act as administrators in public, private and government organisations or business administrators or entrepreneurs with further training and education

Programme Outcomes (POs)

After undergoing this programme, a student will be able to:

  • Build, approve, and test models, for example, recommendations, predictive models.
  • Wrangling, parsing, munging, transforming and cleaning data
  • Mining and analyzing the data, for example, summary statistics, Exploratory Data Analysis (EDA),
  • Gaining data
  • Tuning and enhancing models or deliverables
  • Use technologies like distributed computing, cloud computing and other upcoming technologies
  • lead a team to ensure that projects are completed satisfactorily, on time, and within budget
  • conform to cultural, environmental, sustainability and ethical issues
  • communicate across teams verbally, visually and by writing and manage the systems
  • choose appropriate online educational programmes for further learning, participate in seminars and conferences

Course Curriculum

First Year

Semester I
Sr. No Course Title
1 Machine Learning and Deep Learning
2 Cloud Computing
3 Data Mining Techniques
4 Soft Core 1: (Click here)
5 Soft Core 2: (Click here)
6 Soft Core 3: (Click here)
Semester II
Sr. No Course Title
1 Predictive Analytics Using  R 
2 Big Data and Hadoop
3 Cloud Security
4 Soft Core 4: (Click here)
5 Soft Core 5: (Click here)
6 Soft Core 6: (Click here)

Second Year

Semester III
Sr. No Course Title
1 Soft Core 7: (Click here)
2 Health Care Analytics
3 Project Phase-1
4 MOOCS / Internship 
5 One Global Certification
Semester IV
Sr. No Course Title
1 Project-Work Phase-2 and Dissertation

Career Opportunities

Students completing this program will have promising career opportunities in the domain of data engineering and cloud computing in various sectors, such as industries, business organizations, Government Departments, research institutions and education sectors.

Eligibility

  • B E / B Tech in ECE / CSE / ISE / TE / MCA / M Sc in Computer Science or Mathematics or Information Science or Information Technology with a minimum of 50% (45% in case of SC/ST) marks in aggregate of any recognized University / Institution or AMIE or any other qualification recognized as equivalent there to.

Course Duration: 4 Semesters (2 Years)

Important Dates

Application Round Opening Date of Application Closing Date of Application
Final Application Round 2 21st August 2018 31st August 2018
Extended Final Application Round 2 1st September 2018 10th September 2018

Admissions

ADMISSION CLOSED

How to Apply?

Contact for Admissions
Office of Admissions,
REVA University, Rukmini Knowledge Park Kattigenahalli, Yelahanka,
Bangalore – 560 064
Karnataka, India
+91-80-6622 6622
+91 95388 74444/45
admissions@reva.edu.in
Application Fee
Course Application Fee
Indian / SAARC Nationals
(Rs.)
NRI Fee
(Rs.)
Foreign Nationals
($)
M. Tech. in Data Engineering and Cloud Computing 1000 2000 50
Hostel Fee
Transportation Fee
Transportation Route