Description
Course Name: Advance Diploma in GST Management
Course Id: ADGSTM/Q1001.
Education Qualification: 12th Pass.
Course Duration: 370 hrs (Equivalent to One Year).
Total Credits: 18.
How You will Get Diploma Certificate:
Step 1- Select your Course for Certification.
Step 2- Click on Enroll Now.
Step 3- Proceed to Enroll Now.
Step 4- Fill Your Billing Details and Proceed to Pay.
Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.
Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.
Step 6- After Payment You will get Study Material Login id and Password on your email id.
Step 7- After Completion of Course Study give Online Examination.
Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).
Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.
Online Examination Detail:
- Duration- 120 minutes.
- No. of Questions- 60. (Multiple Choice Questions).
- 10 Questions from each module, each carry 10 marks.
- Maximum Marks- 600, Passing Marks- 40%.
- There is no negative marking in this module.
| How Students will be Graded: | ||
| S.No. | Marks | Grade |
| 1 | 91-100 | O (Outstanding) |
| 2 | 81-90 | A+ (Excellent) |
| 3 | 71-80 | A (Very Good) |
| 4 | 61-70 | B (Good) |
| 5 | 51-60 | C (Average) |
| 6 | 41-50 | P (Pass) |
| 7 | 0-40 | F (Fail) |
Benefits of Certification:
- Government Authorized Assessment Agency Certification.
- Certificate Valid for Lifetime.
- Lifetime Verification of Certificate.
- Free Job Assistance as per your Interest Area.
Advance Diploma in GST Management
Introduction to Goods and Services Tax – Introduction, Constitutional scheme of indirect taxation in India before GST, Historical evolution of indirect taxation in post, International perspectives on GST/VAT, Need for GST in India, GST: A historical perspective, Challenges in Designing GST, Constitutional amendment, Goods and service tax council, The design of India GST, GST legislation, Role of CBIC, Goods and services tac network, GST: A Game changer for Indian economy, Experience of Registration Return Filing and Revenue.
Levy, Tax Collection and Reverse Charge Mechanism – Introduction, Genesis of GST in India, Constitutional amendment for GST, Legislative framework, Structure of GST, Benefits of GST, Levy and collection, Liability of pay CGST, Concept of supply under GST, Composition levy, Intimation of opting for composition levy, Meaning of reverse charge, Exemption under GST and Reverse Charge Mechanism, Customs Duty,
Input Tax Credit & Payment of GST – Eligibility and Conditions for taking Input Tax Credit, Apportionment of Input Tax Credit and Blocked Input Tax Credit, Input Tax Credit in Special circumstances, Input Tax Credit and job work, Distribution of Input Tax Credit by input service distributor, Miscellaneous, Conditions for availing Input Tax Credit.
Concept of Tax Planning – Concept of tax planning, Tax planning differentiated from ‘Tax Evasion’ and ‘Tax Avoidance’, Objectives of tax planning, Factors for tax planning, Methods of tax planning, Some of the areas of tax planning, Tax planning and corporate planning, Tax planning in functional management, Tax planning and financial management decisions, Tax planning for setting up new business, Tax planning in specific managerial decisions, Tax management.
Statistical Data and Descriptive Statistics – Samples: Good and bad, Sample surveys in the real world, Experiments: Good and Bad, Experiments in the real world, Data ethics, Measuring, Displaying Distributions with Graphs, Normal distributions, Describing relationships: Scatterplots and Correlation, Describing relationships: Regression Prediction and Causation, Thinking about chance, Introduction to statistical inference and sampling distributions.
Probability and Probability Distributions – Topics, Sample spaces, Events, Contingency Table, Tree diagram, Probability, Computing probability, Random variable, Probability distribution, Discrete probability distribution, Two or more random Variables, Computing joint probability, Compound probability addition rule, Conditional probability and statistical independence, Important discrete probability distribution models, Binomial Distribution, Normal distribution finding probabilities.
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