BScIT is an interdisciplinary program that emphasizes IT and business development. The program produces determined, skilled and qualified human resources to solve real-life IT problems. The students, as IT practitioners, are trained to apply and explore the fundamental IT business development concepts with ethical and social awareness.
This 4-years, 120 credits BScIT degree is a high value investment. The program will allow our students to enter into the technologically advanced world where they will be engaged with various tasks allowing them to have an edge. This course will include designing, programming, knowledge on theoretical systems, networking and the like which are essential for getting into the advanced and dynamic IT sector. As IT has become part of every sector, this course will open a new path and career opportunities for anyone interested in pursuing it.
Bachelor of Science in Information Technology (BSIT) at PBS is a four years, 120 credit program designed to produce middle and supportive level IT practitioners. Accordingly, the program is a unique blend of Information Communication Technology (ICT) which covers a wide range of areas, from its theoretical, mathematical and algorithms foundations to leading-edge developments in computer intelligent system, robotics, computer vision, system design and development, bioinformatics, and data-mining/data warehouse. Consequently, the school believes the assortment of courses, offered in the program, produces competent IT human resources that not only cater to the need of both domestic and global markets but also thrive individually and professionally.
Successively, the degree empowers the students to function effectively applying the learned skill in socioeconomic design and development. Besides, the graduates will independently work in three distinct components as listed below:
Hence, this academic program provides students with a sound conceptual foundation and practical skills in various areas of ICT.
Machine Learning is most rapidly growing in technological fields thereby facilitating the interaction of computer science and statistics with Artificial Intelligence and Data Science at its core.
The aim of this concentration is to provide theoricial as well as practical knowledge on various tools, scientific methods, machine learning algorithms with the goal to discover meaningful information and their visualization from large and complex data. Students learn different machine learning approaches which includes supervised, unsupervised as and reinforcement techniques. It also helps to understand the fundamental concepts of information retrieval which deals with retrieving relevant information from a database for a given query information. Another aspect of this concentration is to understand the semantic web technologies which helps to make internet data machine-readable and smarter.
|ENG 120||English Composition||3 credit hours|
|ENG 110||Academic English||3 credit hours|
|MAT 135||College Algebra||3 credit hours|
|HUM 221||The Impact of Art: Visual, Design & Media||3 credit hours|
|.........||Ethics & Cyber Law||3 credit hours|
|SBS 210||Psychology, Motivation, and Decision Making||3 credit hours|
|.........||Organizational Behavior/Psychology||3 credit hours|
|.........||International Business||3 credit hours|
|SCI 280||Environment Sciences||3 credit hours|
|COM 115||Introduction to Communication||3 credit hours|
|BUS 355||Essentials of Entrepreneurship||3 credit hours|
|BSIT 315||Information Technology Essential||3 credit hours|
|BSIT 320||Introduction to Statistical Analysis||3 credit hours|
|BSIT 328||System Analysis and Design||3 credit hours|
|BSIT 340||Programming Concept||3 credit hours|
|BSIT 345||Programming Language||3 credit hours|
|BSIT 350||Database Management System (DBMS)||3 credit hours|
|BSIT 355||Technical Writing and Communication||3 credit hours|
|BSIT 360||Introduction to Data Communication Network||3 credit hours|
|BSIT 330||Discrete Mathematics||3 credit hours|
|BSIT 375||Knowledge Discovery and Data Science||3 credit hours|
|BSIT 325||Applied Statistics for Optimization||3 credit hours|
|BSIT 365||Computer Network Concept, Admin & security||3 credit hours|
|BSIT 380||Big Data Analytics||3 credit hours|
|BSIT 385||Data Visualization||3 credit hours|
|BSIT 329||Artificial Intelligence||3 credit hours|
|BSIT 343||Advanced Programming using Python/Java||3 credit hours|
|BSIT 370||Business Intelligence Tools and Techniques||3 credit hours|
|BSIT 333||Mobile Computing and Programming||3 credit hours|
|BSIT 348||Cloud Computing||3 credit hours|
|BSIT 335||Web Page Design and Development||3 credit hours|
|BSIT ……||Computer Architecture and Microprocessor||3 credit hours|
|BSIT …..||Data Structure and Algorithms *||3 credit hours|
|BSIT …..||Internship||3 credit hours|
|BSIT 390||Capstone Project||3 credit hours|
|Introduction to IoT (Internet of Things)||3 credit hours|
|AI Programming (Python)||3 credit hours|
|Machine Learning||3 credit hours|
|Deep Learning||3 credit hours|
|Data Science||3 credit hours|
The Bachelor of Science in Information Technology offered by PBS in affiliation with Westcliff University encourages students to achieve the following educational outcomes:
Students with 12 years of schooling including High School (SLC)/+2/A-Level or equivalent degree in any discipline from a board of Nepal or from any other board across the globe recognized by CDC of Government of Nepal with minimum score of 2.0 GPA or 45% or equivalent grade are eligible to apply for the program. For A-Level graduate, 3.5 credit is required.
Student must complete 120 prescribed credit hours with a cumulative GPA of 2.0 or higher, including 60 credits core business courses, 45 credits foundation, general education and elective courses and 15 credits concentration courses. In addition, a 60-days internship with report submission is required.