Data science continues to evolve as one of the most promising and in-demand career paths. As the world entered the era of big data, handling it was the main challenge and concern for the enterprise industries until 2010. 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, once you complete your CSE Data Science course from one of the best Computer Science Engineering Colleges in Delhi NCR region. The 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 Data Science and Machine Learning are lying vacant in India, for lack of skilled professionals. A McKinsey Global Institute study states that by 2020, 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 future Data scientists, Data engineers, or Business Analysts.
NCU also offers oracle academia courses to the students in the Data science domain as a value addition for learning and practicing the machine learning concepts within artificial intelligence. They are introduced to the terminology, syntax, and steps required to create a machine learning solution in Java using hands-on, engaging activities and capstone projects.
Learning outcomes of this track:
This B.Tech CSE course equips students with the necessary skills:
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 formulate and use appropriate models of data analysis to unravel hidden solutions to business-related challenges
Career Options:
Data Scientist
Data Analyst
Business Analyst
Data Engineer
Prospective Companies for B.Tech (CSE) (Data Science):
Google
Facebook
Intel
The Boston Consulting Group
Reliance Industries Ltd
Capgemini
Philips
Myntra.com
SnapHunt
KPMG
Infosys
Mindtree Limited
Dell
Asian Paints
Gartner India Research Advisory Services
ZS Associates.
Programme Educational Objectives (PEOs)
To provide an in-depth understanding of the fundamentals of Computer Science and create a foundation of lifelong learning to facilitate progressive careers in industry and in pursuit of higher studies.
To equip our students with technical and analytical skills to develop innovative solutions to complex real life problems using existing and novel technologies.
To equip our students with sufficient communication & interpersonal skills, multi-disciplinary teamwork, and leadership skills to enable them to fulfil professional responsibilities.
To expose them to various contemporary issues which will enable them to become ethical and responsible towards themselves, co-workers, the Society, and the Nation.
Programme Outcomes (POs)
Engineering Graduates will be able to:
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet a specific requirement with appropriate consideration for the public health and safety and the cultural, societal, and environmental considerations.
Conduct investigations for the complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, 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.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.
Professional Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and teamwork: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with the society at large, such as, being able to comprehend and write effective reports and design documentation, making effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work being a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broad context of technological change.
Programme Specific Outcomes
PSO 1 Understand the fundamental concepts of Computer Science & Engineering with specialized engineering knowledge in the areas of data science, artificial intelligence, full stack, web development, gaming, augmented reality and virtual reality.
PSO 2 Design and Integrate hardware and software systems in the areas of IOT, cloud computing, cyber security with strong emphasis on lifelong learning to create feasible engineering solutions for the advancement of society.
PSO 3 Enable the students for premium National/International jobs, higher education, entrepreneurship and to become responsible global citizens.
