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UdyogVikas Apprenticeship Awards – Student Nomination
Study Abroad: Steinbeis LSC
UdyogVikas Apprenticeship Awards – Industry Nomination
UdyogVikas is now emerging as a National-to-International level Skill–Employment–Innovation Super Network
UdyogVikas Core Mission: To Build a National-to-Global Skill, Employment & Entrepreneurship Ecosystem aligned with NEP 2020, NAPS/NATS, and Skill India Mission
Vision: 10,000+ Students | 1,000+ Companies | 100+ Centers | 10+ Global Partners
UdyogVikas Apprenticeship Awards – Student Nomination
Study Abroad: Steinbeis LSC
UdyogVikas Apprenticeship Awards – Industry Nomination
UdyogVikas is now emerging as a National-to-International level Skill–Employment–Innovation Super Network
UdyogVikas Core Mission: To Build a National-to-Global Skill, Employment & Entrepreneurship Ecosystem aligned with NEP 2020, NAPS/NATS, and Skill India Mission
Vision: 10,000+ Students | 1,000+ Companies | 100+ Centers | 10+ Global Partners

PG Diploma in Data Science for Logistics

Post Graduate Diploma program focusing on data science applications for logistics optimization and process improvement

Duration
1 Year (3 Semesters)
Mode
Full-Time
Level
Post Graduate Diploma
Certification
NSQF Level 6 Certified
PG Diploma in Data Science for Logistics

Course Overview

With the objective of creating skilled technical resources for optimisation of logistics processes, LSC has designed and launched a Post Graduate Diploma in Data Science for Logistics. The Diploma programme is open for graduates in any discipline with a fair knowledge of mathematics and IT. The programme has two teaching semesters and one Apprenticeship Semester. Students of this programme is given a fair immersion in logistics concepts for two semesters. An industry project is given to them for 15 days in between Semesters I and II, to identify potentials for improving logistics processes. A spell of Apprenticeship for six months is assigned to students in the same company where they did their industry projects. The programme encourages students to solve logistics optimisation issues in active consultations with their faculty members and company executives.

Curriculum Structure

PGD in Data Science for Logistics - Curriculum Structure


Semester I - NSQF 6

No. Courses Code Hours Credit CIA Exam Total
1 Data Analytics I LDC2001 60 4 50 50 100
2 Inventory Control LDC2002 30 2 50 50 100
3 Fundamentals of Logistics LDC2003 45 3 50 50 100
4 Optimisation Technique 1 LDC2004 45 3 50 50 100
5 Plant Location & Layout LDC2005 45 3 50 50 100
6 Statistics LDC2006 45 3 50 50 100
7 Supply Chain Management LDC2007 45 3 50 50 100
Total 315 / 21 / 350 / 350 / 700

Semester II - NSQF 6

No. Courses Code Hours Credit CIA Exam Total
1 Applications of Block Chain LDC2008 30 2 50 50 100
2 Data Analytics II LDC2009 45 3 50 50 100
3 Concept & Applications of Internet of Things LDC2010 30 2 50 50 100
4 Logistic documentation LDC2011 45 3 50 50 100
5 Advanced Logistics LDC2012 45 3 50 50 100
6 Machine Learning Concepts LDC2013 45 3 50 50 100
7 Optimisation Technique II LDC2014 45 3 50 50 100
8 Revenue & Distribution Management LDC2015 45 3 50 50 100
Total 330 / 22 / 400 / 400 / 800

Semester III - NSQF 6

No. Courses Code Hours Credit CIA Exam Total
1 R Programming - Practical LDP2001 60 2 50 50 100
2 Python Programming - Practical LDP2002 60 2 50 50 100
3 Apprenticeship & Project Report LDC2016 1,008 22 250 150 400
Total 1,128 / 26 / 350 / 250 / 600

Career Opportunities

Data Scientist (Logistics)

₹6-15 LPA

Logistics Analytics Manager

₹8-18 LPA

Supply Chain Data Analyst

₹5-12 LPA

Logistics Process Optimization Specialist

₹7-16 LPA

Eligibility Criteria

  • Minimum: Bachelor's degree in any discipline
  • Required: Fair knowledge of mathematics and IT fundamentals
  • Skill: Analytical thinking and problem-solving abilities

Course Fees

Per Year

₹55,000

Scholarships available for meritorious students

Enroll Now

Launch Your Data Science Career in Logistics!

Get an NSQF Level 6 certified PG Diploma in Data Science for Logistics and become a professional in logistics optimization

Contact Us Now

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