Page 82 - University Bulletin

BACHELOR OF SCIENCE IN SOFTWARE ENGINEERING
(SASCED-P 06130201)
(Artificial Intelligence and Data Science Track)
Track specialization under the BS in Software Engineering Program (SE-AI&DS)

Introduction

As we move further into the digital age, the demand for professionals with expertise in AI and data-
driven decision-making continues to grow exponentially across industries. From revolutionizing
healthcare and finance to transforming transportation and entertainment, AI and data science are at
the forefront of innovation, shaping the future in profound ways.

In this track, students will get into the fundamentals of both AI and data science, gaining a deep
understanding of key concepts, algorithms, and techniques. They will learn how to harness the power
of data to extract valuable insights, make informed predictions, and drive strategic decisions.
Moreover, they will explore cutting-edge AI technologies such as machine learning, natural language
processing, computer vision, and robotics, discovering how these tools are revolutionizing the way we
interact with technology and the world around us.

Trak Objectives
The AI and data Science track enables students after graduation to gain conceptual understanding of
the technologies behind AI such as machine learning, deep learning, neural networks, and
algorithms.

Career Opportunities
• Data Scientist • AI Product Manager
• Machine Learning Engineer • AI Ethicist
• AI Research Scientist • Data Analyst
• Business Intelligence Analyst • AI Consultant
• Data Engineer

Track Requirements:

Students taking the AI and DS track are required to complete four courses from the following:
2 Core Courses:

CS316 Introduction to AI and Data Science, and CS465 Machine Learning

2 Elective Courses:

● CS469 Digital Image Processing
● CS471 Data Mining

● CS476 Natural Language Processing

● CS496 Emerging Topics in AI and DS

● CS481 Big Data Analytics

70 PSU UNDERGRADUATE BULLETIN