BScIT -AI and Machine Learning
Philosophy
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.
Overview
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:
- Develop effective methods to solve any types of computing problem
- Invent modern global ways to use computers in IT sectors
- Innovate, Design, Develop, and implement software according to global trend
Hence, this academic program provides students with a sound conceptual foundation and practical skills in various areas of ICT.
Courses Content
The objective of the AI & Machine Learning concentration in BSIT is to provide theoretical 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. Deep learing is another state-of-the-art AI technique which will be explore the the students.
AI & Machine Learning is one of the most rapidly growing in technological fields thereby facilitating the interaction of computer science and statistics with Artificial Intelligence and Data Science at its core.
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DATA 100Introduction to Data Analytics3 Credit Hours
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NET 100Introduction to Networking3 Credit Hours
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TECH 100Introduction to Technology3 Credit Hours
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TECH 110Technology and Systems3 Credit Hours
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MTH 150Discrete Mathematics3 Credit Hours
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DATA 200Applied Statistical Analytics3 Credit Hours
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NET 200Network Routing and Switching3 Credit Hours
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DATA 210Database Design & Analytics3 Credit Hours
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TECH 220Information Security3 Credit Hours
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TECH 250Technical Documentation and Communication3 Credit Hours
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NET 300Cloud Computing3 Credit Hours
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TECH 300Internet of Things (IoT)3 Credit Hours
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LDR 302Introduction to Leadership3 Credit Hours
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LDR 303Foundations in Operations Management3 Credit Hours
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TECH 310Management of Information Systems3 Credit Hours
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TECH 320Authorization and Access Control Management3 Credit Hours
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TECH 330Emerging Technologies3 Credit Hours
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CAP 490Capstone Project3 Credit Hours
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--- --- ---Numerical Methods3 Credit Hours
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--- --- ---Applied Calculus3 Credit Hours
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CLD 400Virtualization and Storage3 Credit Hours
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PRG 330Python Programming3 Credit Hours
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PRG 401JAVA3 Credit Hours
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PRG 402Mobile Programming Applications3 Credit Hours
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DCS 403Data Structures & Algorithms Design3 Credit Hours
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DCS 404Artificial Intelligence & Machine Learning3 Credit Hours
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DCS 402Big Data Analytics and Visualization3 Credit Hours
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BSIT 375Knowledge Discovery and Data Science3 Credit Hours
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. .. .. .. .. .. .Introduction to Information Retrieval3 Credit Hours
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. .. .. .. .. .. .Artificial Neural Network & Deep Learning3 Credit Hours
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Composition 13 Credit Hours
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Composition 23 Credit Hours
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Academic Communication3 Credit Hours
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College Algebra3 Credit Hours
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Psychology, Motivation, and Decision Making3 Credit Hours
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Creating a Sustainable World: Technology and Energy Solution3 Credit Hours
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History of Social Movements3 Credit Hours
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The Impact of Art: Visual, Design & Media3 Credit Hours
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Speech, Debate & Ethics3 Credit Hours
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Integrative Studies Capstone3 Credit Hours
Learning Outcomes
What you'll learn
The Bachelor of Science in Information Technology offered by PBS in affiliation with Westcliff University encourages students to achieve the following educational outcomes:
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Evaluate current and emerging technologies.
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Identify and gather user requirements to design user-friendly interfaces.
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Apply, configure, and manage IT technologies
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Utilize data to help business gain insights to help them make better decisions.
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Access IT impact on individuals, organization, and the environment.
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Apply IT concepts and strategies to solve real world problem.
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Conduct research in the field of information technology and related fields.
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.
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
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