CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINENESS SCHOOL ...

CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINENESS SCHOOL

MSc Big Data Analytics 1.1 July 2021 Block Timetable

Week 1

12-18 July Week 2

MONDAY Analytics of Programming

TUESDAY Analytics of Programming

WEDNESDAY Analytics of Programming

Statistical Analytics Statistical Analytics Statistical Analytics

19-25 July Week 3

26 July -1 August

Data Base Management and Warehousing

Data Base Management and Warehousing

Data Visualisation Techniques

Week 4 2-8 August

Data Visualisation Machine Learning Machine Learning

Techniques

Techniques

Techniques

THURSDAY Analytics of Programming

FRIDAY Statistical Analytics

SATURDAY Independent study

Data Base Management Data Base Management Independent study

and Warehousing

and Warehousing

Data Visualisation Techniques

Data Visualisation Techniques

Independent study

Machine Learning Techniques

Machine Learning Techniques

Independent study

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 36 hours per module.

Module

Analytics of Programming Statistical Analytics

MSCDA606 MSCDA602

Data Base Management and Warehousing MSCDA603

Data Visualization Techniques

MSCDA604

Machine Learning Techniques

MSCDA605

Lecturer

Mr. P. Mastara Mr. D. Fadaraliki Mr S.Chinofunga Mr L. Phiri Dr. P. Chiurunge

CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINENESS SCHOOL

MSc Big Data Analytics 1.2 July 2021 Block Timetable

Week 1 12-18 July

MONDAY Business Ethics and Corporate governance

TUESDAY Business Ethics and Corporate governance

WEDNESDAY Business Ethics and Corporate governance

Week 2

19-25 July Week 3 26 July -1 August

Research Methods in Data Analytics

Econometric Analytics

Research Methods in Data Analytics

Econometric Analytics

Research Methods in Data Analytics

Ethical Hacking and Digital Forensics

Week 4 2-8 August

Ethical Hacking and Big Data Analytics Big Data Analytics Digital Forensics

THURSDAY Business Ethics and Corporate governance

Econometric Analytics

Ethical Hacking and Digital Forensics

Big Data Analytics

FRIDAY Research Methods in Data Analytics

Econometric Analytics

Ethical Hacking and Digital Forensics

Big Data Analytics

SATURDAY Independent study

Independent study Independent study

Independent study

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 36 hours per module.

Module MSCDA607 Econometric Analytics MSCDA608 Big Data Analytics MSCDA609 Business Ethics and Corporate Governance MSCDA610 Ethical Hacking and Digital Forensics MSCDA621 Research Methods in Data Analytics

Lecturer Mr. B. Mapinge Eng. N. Thusabantu Dr. O. Sifile Eng. R. Shoniwa Prof. M. Tsvere

CHINHOYI UNIVERSITY OF TECHNOLOGY GRADUATE BUSINENESS SCHOOL

Week 1 12-18 July

MONDAY Marketing and Customer Analytics/ Network Protocols

MSc Data Analytics 2.1 July 2021 Block Timetable

TUESDAY Marketing and

WEDNESDAY Marketing and

THURSDAY Marketing and

Customer Analytics/ Customer Analytics/

Customer Analytics/

Network Protocols Network Protocols

Network Protocols

FRIDAY Business Intelligence Analytics/ Cloud Computing

SATURDAY Independent study

Week 2 19-25 July

Business Intelligence Analytics/ Cloud Computing

Business Intelligence Analytics/ Cloud Computing

Business Intelligence Analytics/ Cloud Computing

Project Management Analytics

Project Management Analytics

Independent study

Week 3

Project Management Project

Analytics 26 July -1 August

Management Analytics

Financial and Risk Analytics/ Parallel and Distributed Databases

Financial and Risk Analytics/ Parallel and Distributed Databases

Financial and Risk Analytics/ Parallel and Distributed Databases

Independent study

Week 4 2-8 August

Financial and Risk Analytics/ Parallel and Distributed Databases

Logistics and Supply Chain Analytics/ Web Mining Analytics

Logistics and Supply Chain Analytics/ Web Mining Analytics

Logistics and Supply Chain Analytics/ Web Mining Analytics

Logistics and Supply Chain Analytics/ Web Mining Analytics

Independent study

Note that the timetable did not prescribe lecture times. As the lectures will be delivered online, it is felt that the lecturer and the students will come up with lecture times convenient to both within each module allocated day but that should not encroach into periods allocated to other modules. As a guide, the contact time should amount to 36 hours per module.

Module

MSCDA 611 Logistics and Supply Chain Analytics MSCDA 612 Financial and Risk Analytics MSCDA 613 Business Intelligence Analytics MSCDA 614 Marketing and Customer Analytics MSCDA 615 Project management Analytics MSCDA 616 Cloud Computing MSCDA 617 Web Mining Analytics MSCDA 618 Parallel and Distributed Databases MSCDA 619 Network Protocols

Lecturer

Mr. H. Mazhokota Dr. G. Mazambani Mr. H. Mazhokota Mr. W. Kanyongo Dr. T. Masamha Mr S. Chinofunga Dr. T. Masamha Mr. P.H. Mastara Mr. A. Dikito

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