Shivalik

Best Data Science College in Dehradun

B.Tech in Data Science

B. Tech in Data Science is a 4-year program that focuses on creating intelligent systems, with core technologies like Statistics & Math (probability, calculus, linear algebra), Programming (Python, R, SQL), Machine Learning & AI, Data Wrangling & Visualization, and Big Data technologies.

500+ Companies Hiring Worldwide
92% Placement Record
4500+ Successful Alumni Worldwide
100% placement assistance

Program Outcomes, Program Educational Objectives & Program Specific Outcomes

Comprehensive framework defining the educational goals, expected competencies, and specialized outcomes for B.Tech Data Science graduates.

Program Outcomes (POs)

Program Outcomes define what students are expected to know and be able to do by the time of graduation.

PO 1

Engineering Knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2

Problem Analysis

Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3

Design/Development of Solutions

Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO 4

Conduct Investigations of 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.

PO 5

Modern Tool Usage

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO 6

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.

PO 7

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.

PO 8

Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9

Individual and Team Work

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10

Communication

Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO 11

Project Management and Finance

Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO 12

Life-long Learning

Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes (PSOs)

Program Specific Outcomes articulate what students should be able to do specifically in Data Science.

PSO 01

Data Analysis & Interpretation

Apply data acquisition, preprocessing, visualization, and modeling techniques to extract meaningful patterns from structured and unstructured data.

PSO 02

Data-Driven Solutions Development

Design and implement end-to-end data science solutions using open-source tools, cloud platforms, and big data technologies to address industry and societal challenges.

Program Educational Objectives (PEOs)

Program Educational Objectives define the expected accomplishments of graduates during the first few years after graduation.

PEO 01

Professional Success

Graduates will establish successful careers in data science, analytics, research, academia, or as entrepreneurs.

PEO 02

Data Science Innovation

Graduates will apply statistical methods, AI/ML algorithms, and computational tools to analyze and interpret data for actionable insights.

PEO 03

Data-Driven Problem Solving

Graduates will design, develop, and deploy data-driven solutions to complex business, scientific, and societal problems.

PEO 04

Professional & Ethical Excellence

Graduates will demonstrate strong communication, teamwork, ethical responsibility, and leadership in professional environments.

Accreditation & Quality Standards

These Program Outcomes, Program Educational Objectives, and Program Specific Outcomes are aligned with the National Board of Accreditation (NBA) criteria and are designed to ensure that our graduates meet the highest standards of engineering education and professional practice.