Master Program in Export and Import Management

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About the course

Key Highlights

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Export and Import Management
What is Project?
What is Program?
What is Portfolio?
Detail of PMP Exam

Role of PM with respect to Industry I Disciplines I Project I Organization

Develop Project Charter
Develop Project Management Plan
Direct and Manage Project Work
Manage Project Knowledge
Monitor and Control Project Work
Perform Integrated Change Control
Close Project
Collect Requirements
Define Scope
Create WBS
Validate Scope
Control Scope
Plan Schedule Management
Define Activities
Sequence Activities
Estimate Activity Duration
Develop Schedule
Control Schedule
Plan Cost Management
Estimate Costs
Determine Budget
Control Costs
Plan Quality Management
Manage Quality
Control Quality
Plan Resource Management
Estimate Activity Resources
Acquired Resources
Develop Team
Manage Team
Control Resources
Plan Communications Management
Manage Communications
Monitor Communications
Plan Risk Management
Identify Risks
Perform Qualitative Risk Analysis
Perform Quantitative Risk Analysis
Plan Risk Responses
Implement Risk Responses Monitor Risks
Plan Procurement Management
Conduct Procurements
Control Procurements
Identify Stakeholders
Plan Stakeholder Engagement
Manage Stakeholder Engagement
MonitorStakeholder Engagement

Capstone Projects

Capstone Projects

Project Management

Create Project Charter
Stakeholder Assessment Matrix
Procurement- Calculate Cost Payablee

Business Analysis

Burndown Chart
Create Velocity
Sprint Backlog


On completion of the Master Program in Export and Import Management, aspirants will receive an Industry-endorsed Certificate along with Internship Certificate.




Master in computer science



M.Tech (power electronics), MBA-HR, PhD in power quality improvement


M.B.A(Marketing & Finance )

Program Fees

LUMPSUM Fees - Rs. 48,000 + GST 18% applicable

INSTALLMENT Fees - Rs. 54,000 + GST 18% applicable

Regsitration Amount EMI 1 EMI 2 EMI 3 EMI 4+ GST 18%
10,000 15,000 15,000 14,000 6,000+9,720
  • Exam Fees of 6,000/- applicable for complete course.
  • EMI has to be paid every month. If not paid, fine of 500/- Rs. is applicable.

Our Faculty

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Dinesh Babu R

UrbanPro Excellence Award winner in Data Science Professional
CBAP Certified Professional
Senior Business Analyst in the MNC, Part time, Providing Business Analysis as well as Data Analysis training to both Indian as well as overseas students.
Qualification: P.hd in Data Analysis, MBA (Finance & Operation), B.Tech

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Ganesh Bhure (Management LDP Program, B.Tech/B.E. (Electronics and Telecommunication))

11yrs into training. Working on various training assignments onPython, Machine Learning, Data Analytics, Artificial Intelligence, Docker and Kubernetes, Leadership and Product Management.

Software professional with 16+yrs of experience. Handled innovation strategic roles, Technical Consultant, Technical Manager, Project Lead, Product Development, Project Management, BusinessAnalysis, Technical Design, Python, C, C++, Docker, Kubernetes, Scale Testing, Product Benchmarking, Data Analytics, Machine Learning, Artificial Intelligence, Data Science.

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Suryanarayana Murthy (MCA, B.Sc (Electronics))

9.5 Years IT Experience in Big Data Hadoop and PERL as a Developer.
5.5 Years of comprehensive experience as Big Data Developer, Practical exposure and strong knowledge in Big Data management

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Boddu Lingaiah (M.Tech (CS), B.Tech (CS))

5+ Year teaching experience in Full Stack Web Development.

Boddu Lingaiah has over 10+ Years of experience as Master Trainer at Edunet Foundation & worked as IT Faculty at KL University and Jain University.
Studied M.Tech at SKEC Karepalli as well as worked as Assistant Professior for 1.3 Year.

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Abhishek Srivastava (M.Tech (CS), MCA)

IIT Kanpur Certified Data Science Trainer
Teaching experience in Data science, Machine Learning, Deep Learning, Artificial Intelligence
Data Science Trainer with 5+ Years of experience executing Data Driven solution to increase effeciency, accuracy and utility of internal data processing. Experinced to give training on regression models, using predective data modeling and analysing Data scienceAlgorithm to deliver insights and implement action- oriented to business problems.


  • Introduction to Linux
  • Root
  • Basic commands
  • Editors
  • OS installation
  • Basic system configuration and administration
  • Understanding files and directories
  • Schedulers
  • User administration
  • Software installation