The Part Time MBA in HR Analytics syllabus at Institute of Management Technology(IMT), Ghaziabad is designed to provide overall knowledge to the students with a strong foundation. Part Time MBA in HR Analytics faculty at Institute of Management Technology(IMT) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Part Time MBA in HR Analytics at Institute of Management Technology(IMT), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Part Time MBA in HR Analytics syllabus at Institute of Management Technology(IMT), Ghaziabad maintains a balance between theoretical knowledge and practical knowledge.
Part Time MBA in HR Analytics first year students at Institute of Management Technology(IMT) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Institute of Management Technology(IMT), Ghaziabad also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Part Time MBA in HR Analytics syllabus at Institute of Management Technology(IMT), Ghaziabad is also frequently updated to give industry relevant training and knowledge to students. Institute of Management Technology(IMT) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Institute of Management Technology(IMT) enable Part Time MBA in HR Analytics students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Part Time MBA in HR Analytics progress, students learn advanced topics and complex concepts. The Part Time MBA in HR Analytics curriculum at Institute of Management Technology(IMT), Ghaziabad mainly focuses on analytical and critical thinking. As the Part Time MBA in HR Analytics course unfolds, students develop several important skills that increases their employability. As per syllabus of Part Time MBA in HR Analytics at Institute of Management Technology(IMT) also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Part Time MBA in HR Analytics curriculum at Institute of Management Technology(IMT) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Part Time MBA in HR Analytics syllabus at Institute of Management Technology(IMT) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at Institute of Management Technology(IMT)
Note: Given below syllabus is based on the available web sources. Please verify with the Institute of Management Technology(IMT), Ghaziabad for latest Part Time MBA in HR Analytics curriculum.
A Part-Time MBA in HR Analytics program typically offers a well-rounded syllabus that equips students with the knowledge and skills necessary to excel in the field of human resources, with a strong focus on data analysis and analytics. The curriculum often begins with foundational courses in HR management, covering topics such as talent acquisition, performance management, and employee relations. As the program progresses, students delve into the world of analytics, exploring subjects like data collection, statistical analysis, and predictive modelling specific to HR functions. Advanced courses may include workforce planning, HR metrics and reporting, and the use of HR analytics tools and software. The syllabus is designed to prepare graduates for HR leadership roles where they can harness data-driven insights to make informed decisions, optimize talent management strategies, and drive organizational success.
The table
below lists some of the subject details for the Part-Time MBA with an HR Analytics Specialization:
Semesters | Subjects |
Semester I | Business Communication |
Principles of Management | |
Organizational Behavior | |
Human Resource Management | |
Statistics for HR Analytics | |
Financial Management | |
Semester II | Marketing Management |
Talent Acquisition and Management | |
Training and Development | |
Performance Management | |
HR Analytics and Big Data | |
Compensation and Benefits | |
Research Methodology | |
Semester III | Legal and Ethical Aspects of HR |
Data Visualization and Reporting | |
Predictive Modeling for HR Analytics | |
Employee Relations and Engagement | |
HR Metrics and Analytics | |
Semester IV | Change Management |
Elective 1 | |
Elective 2 | |
Machine Learning for HR Analytics | |
Strategic HRM | |
HR Technology and Information Systems | |
Diversity and Inclusion | |
Elective 3 | |
Elective 4 | |
Project Work or Internship | |
Elective Subjects | Organizational Development |
International HR Management | |
Leadership Development | |
Strategic Compensation | |
Labour Laws and Compliance | |
Talent Management | |
Employee Engagement and Retention | |
Diversity and Inclusion in the Workplace |
Part-Time
MBA in HR Analytics Projects
Let's look at
some of the most creative Part-Time MBA
in HR Analytics project ideas that are suitable for both experts and
newcomers:
(i). Using HR
analytics, determine how training and development activities affect employee
productivity and satisfaction, and then make data-driven suggestions for
improving training programs.
(ii). Develop
retention strategies based on predictive models and focused interventions by
analyzing staff turnover patterns within the company to discover important
factors affecting attrition rates.
(iii).
Analyze diversity and inclusion to determine the representation and
participation of underrepresented groups, and then use HR analytics to develop
an action plan to improve inclusivity.
(iv). To find
trends and patterns in employee sentiment and to create plans to raise employee
engagement and happiness, use sentiment analysis on data from employee
feedback.
(v). Analyze
data on candidate quality, performance, and retention to determine the efficacy
of recruitment channels and selection techniques, and then suggest data-driven
changes to the hiring procedure.
(vi). Utilize
predictive analytics to foresee labor market demand and pinpoint potential
skill gaps, enabling proactive workforce planning and talent acquisition
initiatives.
(vii).
Utilizing HR data to create fair and competitive compensation structures,
conduct a compensation analysis to assess pay fairness and pinpoint areas for
improvement.
(viii).
Utilizing HR analytics to gauge the effectiveness of wellness initiatives and
create evidence-based wellbeing strategies, investigate the relationship
between employee well-being initiatives and productivity outcomes.
(ix). Utilize
HR analytics to analyze employee performance data and pinpoint key performance
factors to create performance management systems that are in line with
organizational objectives.
(x). Utilize
predictive analytics to determine which high-potential employees are at flight
risk and create specialized retention measures to promote their development and
engagement inside the company.
Reference
Books for a Part-Time MBA in HR Analytics
Part-Time MBA in HR
Analytics books
provide students with both a thorough general review of the subject matter and
a close examination of their specific area of expertise. The following are some
of the books for reference:
Name of Author | Name of Book |
T.V. Rao | HRD Audit: Evaluating the Human Resource Function for Business Improvement |
Ganesh Shermon | Transforming HR: Creating Value through People |
Amitabh Deo Kodwani and Parul Gupta | Strategic Human Resource Management: Concepts and Cases |
Biju Varkkey | Strategic Human Resource Management: Concepts, Practices, and Perspectives |
V. S. P. Rao | Human Resource Management: Text and Cases |
Asha Bhandarker | Employee Engagement: Tools for Analysis, Practice, and Competitive Advantage |
Sanjeev Mehta | Analytics in Human Resources: An Introduction |
Pawan Budhwar and Arup Varma | Doing Business in India: A Cross-Cultural Perspective |
G.P. Rao and Hema Datey | Talent Management in Emerging Markets |
Pravin Durai | Business Analytics: Techniques and Applications |
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