Courses Details

Bachelor Of Science (Hons) In Computer Science With A Specialism In Data Analytics
  • Class Timings Lecture Hours
    6:30AM – 10:30AM
    Tutorials 10.30AM - 12.30PM (Sunday-Friday)
  • Duration 3 Years
    (6 semesters)
  • Language English
  • Credits 123 Credit Hours
  • Assessments Yes
  • Degree Awarded by Asia Pacific University of Technology & Innovation (APU)
  • Apply for Scholarship
Aim of Course

    BACHELOR OF SCIENCE (HONOURS) IN COMPUTER SCIENCE WITH A SPECIALISM IN DATA ANALYTICS is a Full-time campus based course of 123 credit. Degree will be awarded by 5-star Rated Award Winning University. Students from any faculty can join. The main aims of the course are:

  • Facilitate your progression, both academic and practical, by developing knowledge, key skills and the capacity for independent and life-long learning.
  • Develop your skills in imaginative problem-solving and decision-making.
  • Familiarity with a broad range of information technologies and how they are used.
  • An understanding of frameworks and planning techniques for the strategic management of cloud-based information systems in organisations.
  • The ability to critically evaluate and apply appropriate strategies and techniques for the development of cloud computing technologies.
  • Provide you with a stimulating, interactive, and accessible course of study that gives you a sound grasp of Information Technology knowledge & analysis and contemporary issues which you can develop and apply in your future employment.
  • Develop your imagination and innovative abilities and help you show initiative and creativity in your work.
  • Develop your intelligence, ingenuity, inventiveness, and independence as well as your communication skills.
Corporate Readiness Program

Enabling our IT and Management graduates become industry-ready by acquiring and reinforcing the knowledge, skills and attitude required to deliver organizational goals.

Corporate Readiness Programme is provided with a pure objective of helping our students to discover the path to a rewarding career. Corporate Readiness Programme is a customized set of courses that’ll take you on a journey of learning and help you become a successful and future ready professional. Under this programme we offer more than 50 industry relevant online certification training courses, worth above NPR 6 lakhs, along with your degree to enhance job readiness.

PROGRAMME OUTLINE

This programme is specifically designed to provide students with:

  • Familiarity with a broad range of information technologies and how they are used.
  • An understanding of frameworks and planning techniques for the strategic management of information systems in organisations.
  • The ability to critically evaluate and apply appropriate strategies and techniques to the development of information technologies.
DEGREE LEVEL 1

Students will learn fundamental skills required by every IT professional, and the basic understanding of programming, mathematical and algorithmic skills. Some specialised modules will provide them basic knowledge of underlying computer systems such as Computer Architecture, operating systems, networking and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.

COMMON MODULES
  • Introduction to Networking
  • Systems Software and Computing Concepts
  • Introduction to Databases
  • Python Programming
  • Systems Analysis and Design
  • Integrated Computer Systems
  • Fundamental of Entrepreneurship
SPECIALISED MODULES
  • Digital Thinking and Innovation
  • Mathematical Concepts for Computing
  • Introduction to Artificial Intelligence
  • Introduction to C Programming
DEGREE LEVEL 2

A broader range of skills will be learned, in which you will gain a better understanding of frameworks and planning techniques for the strategic management of information systems, programming languages and techniques, and further analysis and design skills. We will further nurture your creativity and innovation as well as independent learning to prepare you for the workplace.

COMMON MODULES
  • Innovation Process
  • Research Methods for Computing and Technology
  • SPECIALISED MODULES
    • Systems and Network Administration
    • System Development Methods
    • Object Oriented Development with Java
    • Web Applications
    • Computer Systems Low Level Technique
    • Data Structures
    • Probability and Statistical Modelling
    • Data Management
    • Data Mining and Predictive Modelling
    INTERNSHIP 12 WEEKS

    Students will undertake an Internship/Industrial Training for a minimum period of 12 weeks to prepare them for a smooth transition from the classroom to the working environment.

    DEGREE LEVEL 3

    Students will make use of their previous studies and industrial experience to extend their familiarity in the field of Internet of Things (IoT) and to refine their personal and professional development. Students will move further into the frameworks and planning techniques for strategic management of cloud-based IoT systems in organisations. A final year project requires them to investigate and develop a solution for a real-world problem – they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.

    COMMON MODULES
    • Venture Building
    • Project Management
    SPECIALISED MODULES
    • Investigations in Data Analytics
    • Algorithmics
    • User Experience
    • Human Computer Interaction and Usability
    • Advanced Database Systems
    • Text Analytics and Sentiment Analysis
    • Behavioural Science and Marketing Analytics
    • Database Security
    • Optimization and Deep Learning
    • Project in Data Analytics
    CAREER OPTIONS
    • Software Tool Developer
    • Data Analyst
    • Data Scientist
    • Data Wrangler/Munger/Miner
    • Chief Technology Officer (CTO)
    • Data Analytics Manager
    • Business Process Engineer
    • Business Analyst Manager
    • Data Innovation Manager
    • Business Intelligence Developer
    • IT Risk Analyst
    • Advance Analytics Professional
    • Data Engineer
    • Business Intelligence Analyst
    • Machine Learning Scientist
    • Business Intelligence Solutions Architect
    • Analytics Manager
    • Data Visualization Developer
    DEGREE & RECOGNITIONS

    BACHELOR OF SCIENCE (HONOURS) IN COMPUTER SCIENCE WITH A SPECIALISM IN DATA ANALYTICS will be awarded by Asia Pacific University of Technology & Innovation. B.Sc.(Hons.) in IT is recognized by Tribhuvan University as Bachelor’s Degree (Information Technology).
    We are approved by the Ministry of Education, Nepal Government to run the courses from APU, Malaysia at Kathmandu, Nepal.
    Asia Pacific University (APU) received international recognition by Quacquarelli Symonds (QS) in 2017 with APU being awarded 5-Star in four categories of the QS Stars Rating – Teaching, Employability, Facilities and Inclusiveness. The QS Stars rating measures achievements of universities worldwide.

    ENTRY REQUIREMNETS

    Direct Entry to Level 1 of the Degree :

    • Successful completion of 10+2 or equivalent (any discipline) with minimum 50% marks in Mathematics at SEE level (Grade-X) or;
    • Successful completion of A-Level with at least a pass in 3 subjects and successful completion of O-Level or equivalent with credit in Mathematics or;
    • Successful completion of STPM with 2 full passes or equivalent with minimum CGPA of 2.0 and completion of SPM or equivalent with credit in Mathematics or;
    • A qualification that APU accepts as equivalent to the above

    Direct Entry to Level 2 of the Degree :

    • Successful completion of Level 1 of an APU Computing & Technology Programme or;
    • A Diploma in Computer Science, Information Systems, Information Technology, Software Engineering or equivalent with a minimum CGPA of 2.5 or;
    • Any other Diploma with a minimum CGPA of 2.5, and credit in Mathematics at SPM level or;
    • A qualification that APU accepts as equivalent to the above.
    ENGLISH REQUIRMENTS

    Evidence of satisfactory English language skills is required for candidates where English is not their first language.

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