mqi college of management's mba in human resource management is an intensive two-year program designed to equip students with the knowledge and skills to become successful human resource professionals. the program focuses on developing the skills necessary to effectively manage and lead people in the workplace. it provides a comprehensive overview of the human resource field, including topics such as recruitment, selection, training and development, compensation and benefits, labor relations, and organizational development. the program also emphasizes the importance of ethical and legal considerations in human resource management. students will gain a deep understanding of the principles of human resource management, and will be able to apply them to real-world scenarios. the program is designed to prepare students for a successful career in human resource management, and to help them develop the skills necessary to become effective leaders in the field.
course duration | course level | tuition fees | mode of study | institute type
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2 years | postgraduate | $20,000 | online/on-campus | private
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| Semester | Subjects | Topics |
|---|---|---|
| 1 | Data Science Fundamentals | Data Science Overview, Data Collection and Storage, Data Analysis and Visualization, Machine Learning, Deep Learning, Natural Language Processing, Big Data Technologies |
| 2 | Data Science Applications | Data Mining, Business Intelligence, Predictive Analytics, Text Mining, Image Processing, Time Series Analysis, Recommender Systems, Social Network Analysis |
| 3 | Data Science Tools and Technologies | Python, R, SQL, Hadoop, Spark, Tableau, SAS, MATLAB, Excel, Power BI |
| 4 | Data Science Project | Data Science Project Design, Data Collection and Cleaning, Data Analysis and Visualization, Model Building and Evaluation, Presentation and Report Writing |
| Topic | Description |
|---|---|
| Data Science Fundamentals | Introduction to data science, data collection and analysis, data visualization, and machine learning. |
| Marketing Analytics | Understanding customer behavior, segmentation, targeting, and positioning, and using data to inform marketing decisions. |
| Digital Marketing | Social media marketing, search engine optimization, and web analytics. |
| Data-Driven Decision Making | Using data to make decisions, including predictive analytics, optimization, and simulation. |
| Business Intelligence | Data warehousing, data mining, and data visualization. |
