• Bachelor Of Science Honours in Business Intelligence and Data Analytics
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    Preamble

    Regulations for the Business Intelligence and Data Analytics shall apply subject to provisions for both the University and Faculty General Academic Regulations. General Faculty Regulations shall normally take precedence over specific degree special regulations where both are read together.

    Programme Aim

    The aim of the degree programme is to prepare students for professional Business Intelligence and Data Analytics practice in a wide range of contexts and in both primary and secondary settings. Additionally, the programme equips students with Business Intelligence and Data Analytics knowledge and skills to deliver developmental and therapeutic services.

    Programme Objectives

    The overall programme objectives are to:

    • Produce  graduate who can master and acquire data, formulate, design, implement and administer  business and data analytic in modern business;
    •  Develop skills of Business Intelligence and Data Analytics students that can facilitate full potential of individuals, groups and communities through professional interventions;
    • Equip Business Intelligence and Data Analytics students with knowledge and skills for interventions in mitigating business problems in complex situations such as financial intelligent, and enhance understanding of the role of Business Intelligence and Data Analytics personnel in solving contemporary business challenges.

    Admissions

    Entry Requirements

    For all entry pathways candidates must have at least five Ordinary Level subjects/ National Foundation Certificates including English Language, Mathematics and a Science subject at grade C or better

    • Normal Entry: A minimum of 2 A’ Level passes in Mathematics AND (Physics OR Computer Science OR any other relevant Science subject).
    • Special Entry: Special entry may be granted to applicants with a National Diploma in Computer Science or any related field from a recognized institution.
    • Mature Entry: Should be at least 23 years old AND should have at least 2 years relevant industrial experience.

    Duration of Programme

    The Business Intelligence and Data Analytics shall take four years to complete full time. Applicants with Diploma in Computer Science/ I.T from HEXCO and other recognized universities will start at second year level.

    Assessment of the Students

    Normal evaluation shall be based on continuous assessment as well as an examination at the end of the course.

    The assessment shall be as follows:

    Coursework               30%

    Examination             70%

    Career Opportunities

    The graduates are prepared for career-entry positions in areas such as:

    • Data Scientist
    • Machine Learning Engineer
    • Machine Learning Scientist (Research Scientist or Engineer)
    • Applications Architect
    • Enterprise Architect
    • Data Architect
    • Business Intelligence (BI) Developer
    • Data Analyst

    Programme Structure

    All Business Intelligence and Data Analytics students are expected to do a minimum of thirty three courses. To meet these requirements, students will undertake thirty-three courses and a project on an approved Business Intelligence and Data Analytics problem.

    • In the first year, students shall undertake twelve courses on offer. For a student to proceed to second year, a CGPA of above 2 is required
    • In second year students shall undertake twelve courses.
    • In the third year, students shall go on Attachment for the whole year.
    • In the fourth year, students shall undertake at least eleven courses.
    • In order to proceed to register for the project, a student must also have passed. KBM225 Business Research Methods in the second year.
    • All Sociology and Psychology related courses such as Introduction to Gender, Communication Skills will be offered from their respective disciplines.

    Year 1 First Semester

    KBIDA115     Business Ethics and Professionalism

    KBIDA114     Fundamentals of Computer Programming

    KBIDA111      Mathematics for Data Analysis

    KBIDA112     Business Systems Analysis and Design

    KBIDA113     Operating Systems

    KCS111           Communication Skills

     

    Year 1 Second Semester

    KBIDA121     Database Design and Implementation

    KBIDA122     Data Management

    KBIDA123     Website Design and Internet Computing

    KBIDA124     Human Computer Interaction

    KSS122           Introduction to Gender Studies

    KBIDA125     Concepts of R programming

     

    Year 2 First Semester

    KBIDA211     Time series and Forecasting

    KBIDA212     Advanced Programming Using Python

    KBIDA213     Data Processing and Visualization

    KBIDA214     Business Data Analytics

    KBIDA215     Probability and Stochastic process

    KBIDA216     Project Management in Data Science

     

    Year 2 Second Semester

    KBIDA221     Web Analytics and Mobile business intelligence

    KBIDA222     Statistical Analysis And Modelling

    KBIDA223     Data Analytics 2

    KBIDA224     Data Warehousing And Data Structure

    KBIDA225     Business Research Methods

    KBIDA226     Design and Analysis of Algorithm

     

    Year 3 First Semester

    KBIDA311     Work related Continuous Assessment Report

    KBIDA312     Academic Supervisor’s report

    KBIDA313     Employer’s Assessment Report

     

    Year 3 Second Semester

    KBIDA311     Work related Continuous Assessment Report

    KBIDA312     Academic Supervisor’s report

    KBIDA313     Employer’s Assessment Report

     

    Year 4 First Semester

    KBIDA416     Advanced Database Management System

    KBIDA415     Ethical Hacking And Computer Security

    KBIDA414     Artificial Intelligence and Expert System

    KBIDA413     Distributed and Parallel Systems

    KBIDA412     Optimisation Analytics

    KBIDA411     Data Mining

     

    Year 4 Second Semester

    KBIDA425     Research Project

    KBIDA424     Simulation And Modelling

    KBIDA423     Machine Learning Techniques

    KBIDA422     Neural Networks And Genetic Algorithms

    KBIDA421     Predictive Analytics

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