About

Data Science is the future of Artificial Intelligence. As the world entered the era of big data, handling it was the main challenge and concern for the enterprise industries until 2010. All the ideas which you see in Hollywood sci-fi movies can actually turn into reality by Data Science. Unlike data in the traditional systems which was mostly structured, today most of the data is unstructured or semi-structured. A Data Scientist, according to Harvard Business Review, “is a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data”. Therefore it comes as no surprise that Data Scientists are coveted professionals in the Data Analytics and IT industry. With experts predicting that 40 zettabytes of data will be in existence by 2020, Data Science career opportunities will only shoot through the roof! Shortage of skilled professionals in a world which is increasingly turning to data for decision making has also led to the huge demand for Data Scientists in start-ups as well as well-established companies. More than 50,000 jobs in the Data Science and Machine Learning are lying vacant in India, for lack of skilled professionals. A McKinsey Global Institute study states that by 2019, the US alone will face a shortage of about 190,000 professionals with deep analytical skills. To meet this need of the hour The NorthCap University is stepping towards inculcating the required skills in our students to be the future Data Scientist, Data Engineer or Business Analyst.

Learning outcomes of this track:

  • To extract, transform and load data and use visualization techniques to derive actionable insights to positively influence a desirable outcome
  • To utilize statistical methods in the data driven decision making process
  • To use statistical methods to develop and maintain predictive models
  • To process large amounts of data using big data technologies
  • To leverage BI tools to develop business data processing and visualization pipelines
  • To create predictive models using AI and Machine Learning techniques

Career Options:

  • Data Analyst
  • Data Engineers
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Data Analyst
  • Data and Analytics Manager

Programme Outcome (POs)

  • Scholarship of Knowledge: Acquire in-depth knowledge of specific discipline or professional area, including wider and global perspective, with an ability to discriminate, evaluate, analyse and synthesise existing and new knowledge, and integration of the same for enhancement of knowledge.
  • Critical Thinking: Analyse complex engineering problems critically, apply independent judgement for synthesising information to make intellectual and/or creative advances for conducting research in a wider theoretical, practical and policy context.
  • Problem Solving: Think laterally and originally, conceptualise and solve engineering problems, evaluate a wide range of potential solutions for those problems and arrive at feasible, optimal solutions after considering public health and safety, cultural, societal and environmental factors in the core areas of expertise.
  • Research Skill: Extract information pertinent to unfamiliar problems through literature survey and experiments, apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyse and interpret data, demonstrate higher order skill and view things in a broader perspective, contribute individually/in group(s) to the development of scientific/technological knowledge in one or more domains of engineering.
  • Usage of Modern Tools: Create, select, learn and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities with an understanding of the limitations.
  • Collaborative and Multidisciplinary Work: Possess knowledge and understanding of group dynamics, recognise opportunities and contribute positively to collaborative-multidisciplinary scientific research, demonstrate a capacity for self-management and teamwork, decision-making based on open-mindedness, objectivity and rational analysis in order to achieve common goals and further the learning of themselves as well as others.
  • Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply the same to one’s own work, as a member and leader in a team, manage projects efficiently in respective disciplines and multidisciplinary environments after consideration of economical and financial factors.
  • Communication: Communicate with the engineering community, and with society at large, regarding complex engineering activities confidently and effectively, such as, being able to comprehend and write effective reports and design documentation by adhering to appropriate standards, make effective presentations, and give and receive clear instructions.
  • Life-long Learning: Recognise the need for, and have the preparation and ability to engage in life-long learning independently, with a high level of enthusiasm and commitment to improve knowledge and competence continuously.
  • Ethical Practices and Social Responsibility: Acquire professional and intellectual integrity, professional code of conduct, ethics of research and scholarship, consideration of the impact of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society.
  • Independent and Reflective Learning: Observe and examine critically the outcomes of one’s actions and make corrective measures subsequently, and learn from mistakes without depending on external feedback.

Programme Specific Outcome

PSO 1  Acquire deep knowledge of Computer Science & Engineering with specialized areas of Data Science and Cyber Security.

PSO 2   Identify research areas and provide solutions to complex engineering problems for the advancement of society.

PSO 3  Enable the students for premium National/International jobs, pursue research career, entrepreneurship and to become responsible global citizens.

Minimum Eligibility Criteria

MTech (CSE)

Applicant must have obtained minimum 55% marks in aggregate or
equivalent CGPA in
1) BE/ B.Tech. in Computer Science and Engineering/ Information Technology/ Computer Technology/ Computer Science and Applications/Computing in Software/Computer Networking/ Electronics & Communication Engineering OR
2) MCA OR
3) MSc (Computer Science/ IT/ Electronics/ Software Engineering/ Mathematics/ Statistics/ Physics) OR
4) any other relevant equivalent qualifying degree.

College Board Designated Institution (DI) code is 9078, NorthCap, University, Candidates have to use this code number when sending SAT score reports to the university.

Selection Criteria

30% of the seats are reserved for GATE qualified applicants. For balance 70% seats, the selection criteria shall be based on merit as follows: 85% weightage will be given to marks in the qualifying examination at the UG level, and 15% weightage to the personal interview. Any unfilled seats from GATE applicants shall also be treated as unreserved.

Degree OfferedSeats
MTech (CSE) with specialization in (i) Cyber Security or (ii) Data Science10

Programme Fee

For Year 2020-21

FOR INDIAN STUDENTS
(FULLTIME) Rs. 1,57,000/-
(PART TIME) Rs. 90,000/-
FOR NRI STUDENTS
(FULLTIME/PART TIME) Rs. 2,06,000/- or Equivalent Foreign Exchange

Hostel Fee (where applicable) Rs. 65000/- per semester

Fee Concession cum Scholarship

% of ScholarshipGraduation ScoreGraduation Score
Based on CGPABased on Percentage
100% 1099%
50%9.5-<9.9995.1-<99
25%9-<9.585-<95

Limited scholarships available in each category on first come first serve basis

  • The table above is only to represent Fees concessions/Scholarships in case a candidate is selected and the details of Scholarship offered will be part of the  Admission Offer extended to candidates upon selection. For selection, University shall follow the announced process.
  • Fee Concession includes Haryana Residents and shall be as per the Standard Operating Procedure of The NorthCap University from time to time and available at www.ncuindia.edu.
  • Candidate must enroll for the program by depositing the advance fee by the given due date in provisional admission offer letter. Should a candidate fail to do so, candidate shall have no claim over the scholarship. The Scholarship thereafter, shall be passed on to the next eligible candidate.
  • Continuation of Admission Scholarship is subject to obtaining CGPA of 8 on a scale of 10, having no backlog and no discipline case being recorded against the student.
  • In addition to the fees concession/scholarship, to encourage & motivate students the following awards are also given:
    • The NorthCap University Scholars Award (On GATE results – for Final Year BTech)
    • Research Fellowship Award (for PhD Scholars)
    •  Vice Chancellor’s Innovation Fund Awards
  • Only one type of scholarship/fee concession from any source whatsoever is admissible to a student. A certificate signed by the student & parent is to be provided as proof for this.

Enquire Now

Help line number +91 8448495100
Email: admissions@ncuindia.edu

FAQs

Are there research opportunities for M.Tech students?

  • In computer science many companies prefer a research oriented profile for research and development jobs
  • Based on the type of research the candidate has done, he/she can apply to various companies that have research labs in India like IBM research, HP research, Intel labs etc
  • Government research organizations: such as ISRO, DRDO, BARC, CDAC, etc.
  • Pursue Doctorate degree (Ph.D)

What are the various areas in which students can do research?

  • Data Science
  • Machine Learning
  • Artificial Intelligence
  • Cyber Security
  • Cloud Computing
  • Natural Language Processing
  • Software Engineering
  • Internet and Web Technologies
  • Speech Processing

What are the eligibility criteria and reservation policy for M.Tech?

Applicant must have obtained minimum 55% marks in aggregate or equivalent CGPA in

  • BE/ B.Tech. in Computer Science and Engineering/ Information Technology/ Computer Technology/ Computer Science and Applications/Computing in Software/Computer Networking/ Electronics & Communication Engineering OR
  • MCA OR
  • MSc (Computer Science/ IT/ Electronics/ Software Engineering/Mathematics/ Statistics/ Physics) OR
  • any other relevant equivalent qualifying degree.

30% of the seats are reserved for GATE qualified applicants. For balance 70% seats, the selection criteria shall be based on merit as follows: 85% weightage will be given to marks in the qualifying examination at the UG level, and 15% weightage to the personal interview. Any unfilled seats from GATE applicants shall also be treated as unreserved.

What is the minimum credit requirement for graduating from NCU in M.Tech course?

Minimum 57 credits are required for graduating from NCU in M.Tech course.

What is the minimum attendance required to appear in the examination?

Minimum 70% attendance is required in each course to be allowed to appear in the end semester test. This is as per the UGC guidelines.

Is there any provision of scholarship for meritorious students?

Rs 12,400/- per month GATE Scholarship is available through UGC for GATE qualified M.Tech students, subject to UGC terms and conditions. The tenure of Scholarship is maximum two years without any further extension. NCU shall facilitate applying to UGC by enrolled candidates.

What are the career options after pursuing M.Tech from NCU?

Multiple Career options are available with the students after completing MTech degree which includes the professions related to the specializations and many others:

  • Researcher and Scientist
  • Academia(Professor) and Coaching
  • Doctorate
  • Entrepreneurship and Start Ups
  • Software Developer
  • Network and Computer Systems Administrators
  • Computer Systems Analysts
  • PSUs

M.Tech with Specialization in Cyber Security

  • Security analyst
  • Security engineer
  • Security administrator
  • Security architect
  • Security specialist
  • Security consultant
  • Cryptographer
  • Cyber forensic investigator
  • Intrusion detection specialist
  • Computer security incident responder
  • Web application security analyst
  • Network security engineer
  • Technical Security Analyst
  • Information Security Consultant

M.Tech with Specialization in Data Science

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Data Analyst
  • Data and Analytics Manager

 

GENERAL FAQS

 

Admission Brochure 2020

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