BIG DATA ANALYTICS AND MANAGEMENT (ENGLISH, NONTHESIS)


Profile of the Program

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Qualification Awarded

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Level of Qualification

This is a program.

Specific Admission Requirements

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Qualification Requirements and Regulations

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Recognition of Prior Learning

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Occupational Profiles of Graduates

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Access to Further Studies

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Program Outcomes

Course & Program Outcomes Matrix

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes
Courses
BDA5001 Introduction to Big Data
BDA5002 Marketing Analytics
BUS5301 Research Methods and Ethics
SEN5999 Project
Departmental Elective
BDA5003 Creating Value from Data and Strategic Use Case Generation
BDA5010 Big Data and Hadoop Environment
BDA5011 Big Data and Analytics
BDA5012 Big Data in Cloud Computing
BDA5014 Business Strategy for Data Scienctist
BDA5015 Exploratory Data Analytics and Visualization
BDA5121 Enterpreneurship and Managing Big Data
CMP5102 Data Mining II
CMP5103 Artificial Intelligence
CMP5121 Network Security and Cryptography
CMP5123 Computer Networks and Mobile Communications
CMP5126 Image and Video Processing
CMP5130 Machine Learning and Pattern Recognition
CMP5133 Artificial Neural Networks
CMP5151 Software Design Patterns
CMP5203 High Performance Computer Architecture
CMP5550 Computer Vision
CMP5931 Special Topics I
CMP6138 Analysis of Algorithms
ENM5203 Statistical Data Analysis and Decision Making
IND5101 Smart Factories
IND5102 Internet of Things
INE5110 Probabilistic Models and Applications
INE5111 Mathematical Programming and Modelling
INE5261 Multi Attribute Decision Making
INE6103 Multivariate Data Analysis
INE6105 Stochastic Models
INE6150 Design of Experiments
MAT5101 Engineering Mathematics
SEN5104 Advanced System Analysis and Design II
SEN5144 Software Project Management
SEN5301 Introduction to Information Technologies Services Management
SEN5315 Service Oriented Architectures
SEN5604 Information Security Management
GE-Elective

Course Structure Diagram with Credits

1. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
BDA5001 Introduction to Big Data 3 0 3 8
BUS5301 Research Methods and Ethics 3 0 3 9
Departmental Elective 3 7
Departmental Elective 3 6
Total 30
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
BDA5002 Marketing Analytics 3 0 3 8
Departmental Elective 3 7
Departmental Elective 3 8
Departmental Elective 3 7
Total 30
3. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
SEN5999 Project 0 0 0 16
Departmental Elective 3 7
Departmental Elective 3 7
Total 30

Program Director (or Equivalent)


BIG DATA ANALYTICS AND MANAGEMENT (ENGLISH, NONTHESIS) - GRADUATE SCHOOL