The Jagora-UIECC Master-MBA in Data Science is a two-year post-graduate degree that deals with obtaining, collecting, interpreting, and analyzing data for the benefit of a company or organization and to stop losses. It enhances analytical and management skills.
It’s the best way to study JU-KLU-UIECC Master-MBA in Data Science. Easy accessibility, flexibility, geographic flexibility and above all time saving makes online education attractive. One can earn while pursuing the course and break the hurdles of the superb career.
As someone with a degree in this field knows to anticipate potential dangers in the future and turn them into profits, there are many opportunities for employment, growth, and advancement in various nations.
Since this field is more recent, there is more room for professional growth and demand, but there aren’t enough qualified people to fill these vacancies, so this course is quite profitable.
To continuously evaluate their strengths and weaknesses, a Master-MBA in Data Science degree holder comes in handy and can make strategic decisions that support their growth goals.
Skills like obtaining, collecting, interpreting, analyzing, and concluding data are some of the skills which are sharpened during this course.
A master in Data Science develops the abilities needed to create market strategies that will benefit the business or organization.
| SEMESTER I | SEMESTER II |
|---|---|
|
• Essentials of Management • Probability & Statistics • Mathematics for Data Science • Statistics for Data Science- I • Business Research Methodology • Introduction to Python Programming |
• Foundation in Database Management Systems • Management Science • Data Analysis Using NumPy & Pandas • Data Visualization using Tableau/Python • Excel for Data Science • Statistics for Data Science –II • Project Work |
| SEMESTER III | SEMESTER IV |
|---|---|
| • Prescriptive Analytics • Time-Series Analysis • Machine Learning Using Python • Elective I – Marketing Analytics –I • Elective I – Financial Analytics –I • Elective I – People Analytics –I • Elective I – Supply Chain Analytics –I • Internship – I |
• Natural Language Processing –NLP • Big Data Analysis • Deep Learning Using Python • Elective I – Marketing Analytics –II • Elective I – Financial Analytics –II • Elective I – People Analytics –II • Elective I – Supply Chain Analytics –II • Internship – II |
Hours of operation: Monday – Friday at 8am and 5pm, except on holidays.
BP: 11 550, Rue 1.765
Yaoundé (Cameroun)