BSc.
Computer Science Data Analytics Provides an overview of quantitative methods
essential for analyzing data, with an emphasis on business applications. Topics
include identification of appropriate metrics and measurement methods,
descriptive and inferential statistics, experimental design, parametric and
non-parametric tests, simulation, and linear and logistic regression,
categorical data analysis, and select unsupervised learning techniques.
Standard and open-source statistical packages are used to apply techniques to
real-world problems. The program is designed
to provide pathways for students who want to pursue careers centered around
building computer software solutions through programming and algorithmic
techniques. The students pursuing this program gain the necessary skills to
solve challenges in the 21st century globalized economy.
Career
Path
Graduate
careers include Data Analyst, Data Scientist, Business Intelligence Analyst, Big
Data Engineer, Machine Learning Engineer, Data Engineer, Quantitative Analyst
(Quant), Data Visualization Specialist, ETL Developer (Extract, Transform,
Load), Database Administrator, Predictive Modeler, Operations Analyst, Marketing
Data Analyst, Financial Data Analyst, Healthcare Data Analyst, Customer
Insights Analyst, AI/ML Data Annotator, Cloud Data Solutions Developer.
1. WASSCE/A level Certificate
2. School Transcript
3. Passport
4. Recommendation Letter
Westcliff University will accept, for the purposes of meeting the English proficiency requirement, English taken in 12-year education, or English is designated as the primary and official language and the principle language of instruction. If you do not meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme with the university or submit
1. English language proficiency at a minimum of IELTS band 6.5 (or equivalent) or PTE Score or Duolingo English Test score before you start your course.
