M.Tech. Data Science
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About Course

Accelerate your career with our globally recognized M.Tech. (Data Science) in collaboration with Cipher School as our Educational Partner. This program is the perfect mixture of fundamental theory, case studies and extensive hands-on practicum. Designed to present recent graduates and qualified professionals an farreaching Data Science educational Programme, this Post Graduate Programme is a unify of live online classes, hands-on projects, and labs, with mentorship sessions to endow with a high-engagement knowledge base experience and real-world applications to enrich essential Data Science skills. The program put forward in-depth exposure of R, Python, Machine Learning, Tableau, Natural Language Processing, and prepares you for an exciting career in Data Science.

It is a concrete professional choice for new and experienced learner. Aspiring professionals with an analytical frame of mind are most suited to pursue this Post Graduate Program in Data Science, including: IT professionals Analytics managers Business analysts Software developers Beginners or recent graduates with bachelor’s degree in eligible domain.

  • Data Scientists demand grew by 417% in 2019
  • Data Science to Create 2.7 Million New Jobs by 2020
  • Certified Data Scientists Salary Rs. 15-22 LACS
  • GOOGLE, MICROSOFT, AMAZON, APPLE, UBER like companies are hiring certified Data Scientist.

Key Feature


Cipher Schools as our Knowledge partner

Opportunity to earn Industry- recognized IBM (Business Intelligence) certificates

20+ hands-on projects and one capstone

Limited class size for an optimal experience

300+ hours of Blended Learning

Affiliated with Bikaner Technical University

Approved by AICTE

Autonomous Status Granted by UGC

NAAC 'A' GRADE

Great Alumni Support

Building blocks of the programme

Foundation Programming Course

Programming is an increasingly important skill; this course will establish your proficiency in handling basic programming concepts. By the end of this program, you will understand object-oriented programming; basic programming concepts such as data types, variables, strings, loops, and functions; and software engineering concepts such as multithreading and multitasking using Python.

Statistics Essential for Data Science

Statistics is the science of assigning a probability through the collection, classification, and analysis of data. A foundational part of Data Science, this course will enable you to define statistics and essential terms related to it, explain measures of central tendency and dispersion, and comprehend skew-ness, correlation, regression, distribution. You will be able to make data-driven predictions through statistical inference.

R Programming for Data Science

Gain insight into the R Programming language with this introductory course. An essential programming language for data analysis, R Programming is a fundamental key to becoming a successful Data Science professional. In this course, you will learn how to write R code, learn about R’s data structures, and create your own functions. After the completion of this course, you will be fully able to begin your first data analysis.

Data Science with R

The next step to becoming a data scientist is learning R—the most in-demand open source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations who are adopting the power of analytics for competitive advantage.

Natural Language Processing

This Natural Language Processing course will give you a detailed look at the science behind applying Machine Learning algorithms to process large amounts of natural language data. You will learn the concepts of statistical machine translation and neural models, deep semantic similarity model (DSSM), neural knowledge base embedding, deep reinforcement learning technique, neural models applied in image captioning, and visual question answering using Python’s Natural Language Toolkit (NLTK).

Data Science Projects and semester long industrial training

This Data Science projects and semester long industrial training will give you ample opportunity to implement the skills you learned throughout this Program. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in the learning path and will enable you to showcase your expertise in Data Science to future employers.

Syllabus

Complete Syllabus

I Semester

Theory

  • Mathematical Foundations of Data Science
  • Advanced Data Structures and Algorithms
  • Introduction to Data Science
  • Advanced Database ManagementSystem /DistributedSystem/Wireless and Mobile Network
  • Natural Language Processing /IntelligentSystems/Sensor Network and IoT
  • Human Values and Professional Ethics

Practical

  • Data Science Using R
  • Field Work
  • HumanValues PracticeSchool

II Semester

Theory

  • Matrix Computation
  • Machine Learning
  • Data Mining andBusiness Intelligence
  • Data Security and Access Control/SoftComputing/DataVisualisation
  • Deep Learning/CloudComputing/Cyber Forensics and IncidentResponse
  • ResearchMethodology

Practical

  • Machine Learning Lab
  • Field Work

III Semester

Practical

  • Industrial/ FieldProject
  • Seminar

IV Semester

Practical

  • Dissertation

Program Eligibility Criteria and Application Process

  • A bachelor ’s degree (BE/ B.Tech.) in Computer Science and Engineering/ Information Technology /Electronics and Communication Engineering or relevant branch (As mentioned in AICTE APH 2020-21) or MCA / M.Sc. in Computer Science / IT /Cyber Security with an average of 60% or higher marks
  • Basic understanding of programming concepts and mathematics is desirable.


Application Process

Centralised Admission for M.Tech. (CAM) is an integrated admission procedure for admission to First Year of M.Tech. degree programme offered by AICTE approved institutions of Rajasthan, affiliated with state technical university.

  • Rajasthan Technical University (RTU), Kota is the organizing authority and the process is also popularly known as RTU CAM.
  • The entire counselling and seat allotment process for RTU CAM is held online.
  • In RTU CAM, seat allocation in M.Tech. program is based on GATE score/Graduation marks.

An applicant who has B.Tech / B.E. degree in the appropriate discipline with the required minimum marks need not have appeared for GATE. However, an applicant who is seeking admission to M.Tech programme and possesses an M.Sc / MCA degree must apply with a valid GATE Score. RTU CAM is likely to comprise 5 rounds of counselling and seat allocation. Seats are allocated to registered applicants as per choices and ranking in the merit list. Selected applicants need to confirm admission by submitting requisite documents in original and depositing prescribed fee. Scholarship: All the applicants who are having valid GATE score are eligible to get MHRD scholarship as per norms.

Fees Structure

The institute charges fee as per the State Level Fee Determination Committee, Department of Technical Education, Government of Rajasthan. The interim course fee (in INR) for the students enrolling in session 2020-21 for M.Tech. in Data Science is as follows :

Course fee180800/-
Caution Money (Refundable) 7500/-
University Development charges1000/-
Registration3500/-
Exam Fee (entire Course)4600/-
The caution money, university development charges, registration fee need to pay at the time of admission. The course fee may be paid in four equal installments. The I installment of course fee i.e. Rs. 59100/- is to be paid at the time of admission and remaining installments may be paid after every 6 months.

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To Know More, Call:
For course related information Call:
Er. Rajendra Purohit
9829289196

For admission related information Call:
Er. Shrutika Sharma
9799999190