## Admission to the PG Programs for the academic year 2023-24 is closed.

- Important Dates
- Program Overview
- Program Structure
- Intake
- Eligibility
- Selection Process
- Fees Structure*
- How to apply
- Admission Offer
- FAQs
- For Inquiries

Online application website opens | 07 March 2023 |

Last date for submission of online applications (Final) |
30 May 2023 |

Entrance test – Morning Session | 18 June 2023 |

Announcement of list of candidates called for interview | 22 June 2023 |

Date of Interview | 26/27 June 2023 |

Announcement of Result | 05 July 2023 |

Registration and document verification at DAIICT campus for confirmed candidates | 19 July 2023 |

Orientation Program | 20-21 July 2023 |

Commencement of academic session | 24 July 2023 |

**The Orientation schedule can be found:** **here**

The M.Sc. (Agriculture Analytics) is Jointly offered by DA-IICT, Anand Agriculture University and Indian Institute of Remote Sensing with active participation of Industries by offering value added courses.

Indian agriculture contributes 16% of overall GDP and 60% of the total employment in the country. But it suffers from various crisis e.g. fragmentation of the land holding, high input cost, climate change etc. which has reduced the farmers’ income substantially with time.

“Government of India has identified thrust areas for increasing farmers’ income. Some of the key thrust areas identified under Digital India for Ministry of Agriculture & Farmers’ Welfare are incorporation of space technologies, development of mobile apps, GIS Mapping etc. Developing technologies such as Big Data Analytics, Internet of Things (IoT), Artificial Intelligence (AI), etc. are interrelated and are used to optimize the decision making process in agriculture sector. (Doubling Farmers’ Income – Chapter 7, Volume XII)”.

Agriculture Analytics is a multidisciplinary program of two major disciplines namely Agriculture and Data Analytics. It is a two year Post Graduate Program, which is jointly offered by DA-IICT, Gandhinagar (**https://www.daiict.ac.in/**), Anand Agriculture University, Anand (**http://www.aau.in/**) and Indian Institute of Remote Sensing, ISRO, Dehradun (**https://www.iirs.gov.in/**), premier universities/Institutes in ICT, Agriculture and Space Technology domain, respectively. The program is aimed at nurturing students, with insights and the know-how to take the sector into the future. The course will introduce students to concepts of data analytics, viz. descriptive, predictive and prescriptive, in agriculture and will empower the students to eliminate speculative farming and usher in the age of predictive agriculture. This is a **multidisciplinary** program of agriculture and data analytics.

A unique feature of this program is introduction of value added courses to be offered by industries. The courses allow certification by the industries after successful completion of the tests. The courses offered are of two categories – domain and technology specific areas. Domain specific courses are Crop Yield Modeling by SATSURE Analytics, Enhanced Weather Forecasting by IBM India, Spatial Analysis with ArcGIS Pro by ESRI India, AI in Agritechnology Business by AMNEX Info Technologies. The technology specific courses are Visualisation and Story Telling tools by Analytics Vidhya, Microwave Data Processing by SATSURE Analytics.

The brochure for detailed program structure can be found **here**.

The M.Sc. Agriculture Analytics Program follows a full time four-semester pattern and the curriculum consists of three semesters of course work followed by a one-semester project/research work on a specified topic. During summer semester, Value Added Courses (VAC) will be organized at DAIICT by the Industries. The VAC comes with certification after successful completion.

**Download** the brochure for detailed program structure.

Total seats: **30**

### Educational qualification

A Bachelor’s degree with an aggregate of 60% or its equivalent, as per the norms set by the Degree granting Institute/University in Agriculture and allied sciences, Environmental Science, Statistics, Mathematics, Physics, Computer Science, Computer Applications, Information Technology

A Bachelor’s degree in Engineering or Technology from a recognized University with an aggregate of 60% or its equivalent, as per the norms set by the Degree granting Institute/University in Computer Science, Information Technology.

Candidates appearing in their final year Degree examination and expecting to complete it by July 2023 may also apply. However, their final admission will be subject to the condition that they obtain an aggregate of 60% marks, or its equivalent as per the norms set by the degree granting institute/university.

All admitted candidates have to submit their degree certificates or proof of completion of Degree, before 30 October 2023 failing which their admission is liable to cancellation. Professionals working in agriculture domain and satisfying the above educational qualification are also welcome to apply.

Maximum age limit is 45 years as on last date of filling the application form.

The decision of the concerned authorities of DA-IICT, AAU and IIRS regarding eligibility of any candidate shall be final.

At the time of admission an amount of Rs. 1,15,000/- (Rs. 65,000/- towards Tuition Fee for the first semester, Rs. 25,000/- as Caution Deposit (refundable) and Rs. 25,000/- (per semester) as value added course fee payable to service providers) is payable. The Registration Fee is payable at the time of Registration and hostel rent on allotment of Hostel Room.

Tuition fee | Rs. 65,000 per Semester |

Value Added Course fee | The fees payable for value added courses are Rs. 25,000/- per semester. The fees may vary depending upon the number of courses offered in each semester. The fees are to be paid along with the semester tuition fee in each semester. |

Registration Fee | Rs. 2,500 per Semester |

Examination and Semester Grade Report Charges | Rs. 1,500 per Semester |

Caution Deposit | Rs. 25,000 (Refundable at the end of the program) |

Hostel Rent | Rs. 23,000 per semester at DA-IICT. Rent will be different at AAU and IIRS. |

Food | On actuals. There are multiple food options available in the campus (The expense will be approximately Rs. 5,500 per month) |

***Subject to revision**

### Education Loan

The Institute will facilitate the students to avail educational loan from selected Banks. The bank officials will be present on campus at the time of registration of admitted students so as to enable the students to obtain details on procedures and terms and conditions of the loan. The students can also avail loan from banks of their choice and in either of the case; the Institute will extend support in completing the loan documentation process.

### Financial Support

The Institute provides financial support in the form of scholarships to eligible students. More details of it can be seen **here**

### Refund Policy

The refund policy for the withdrawing candidates will be in accordance with the UGC/AICTE rules

There will be two components to the process: (1) an online proctored entrance test and (2) an interview.

The candidates are shortlisted for the interview on the basis of an entrance test to be conducted through the online proctored test.

In online proctored mode, the candidate will be remotely administered at any location of his/her choice. While proctoring online, the candidates will be monitored by a software assisted mechanism. This is a browser based test through a URL facilitated by a strict authentication process. The candidates will be assigned a fixed time slot on the day of the test. The entire test will be constantly monitored for any suspicious activity using advanced video and audio analytics. While the candidate takes the test, a qualified proctor monitors the candidates, the audio-video, and screen and shares feeds in real time throughout the duration of the test. System requirements for online proctored test would be a working computer system (Desktop or Laptop) with webcam and microphone. A stable internet connection with minimum upload speed of => 512 kbps and updated web browsers chrome or firefox.

Interview will be held for the shortlisted candidates based on their performance in the entrance test.

The final merit list for admission will be prepared on the basis of the scores obtained in the (a) entrance test which comprises of 50%, (b) interview which comprises of 30% and (c) academic credentials of 10th, 12th and graduation marks which comprises of 20%.

### Entrance Test

The test will evaluate the candidates on their mathematical and science aptitude, and logical reasoning.

**Pattern:**

Multiple choice questions (MCQ) from three sections – Mathematics, Science and Logical Reasoning.

**Exam Duration:** 90 minutes

**Weightage:**

A total of 45 questions have to be answered in 90 mins. All questions will carry equal weightage. The mathematics, science sections, and logical reasoning will have 15 questions each.

**Difficulty Level:**

Questions from Mathematics and Science will be of standard 10th difficulty level of CBSE board.

#### Exam Syllabus:

**Basic Mathematics and Science Syllabus For Entrance Test**

#### Chemistry

*Matter: *solid, liquid and gas; change of state - melting (absorption of heat), freezing, evaporation (Cooling by evaporation), condensation, sublimation Elements, compounds and mixtures. Atoms and molecules, Atomic and molecular masses, Valency. Chemical formulae of common compounds. Electrons, protons and neutrons; isotopes and isobars. Chemical Equation, types of chemical reactions, Acids, bases and salts, concept of pH scale Metals and non-metals formation and properties of ionic compounds, Carbon compounds, Covalent bonding in carbon compounds. Periodic classification of elements.

#### Physics

Distance and displacement, velocity; uniform and non-uniform motion along a straight line; acceleration. Force and motion, Newton’s laws of motion, inertia of a body, inertia and mass, momentum, force and acceleration. Elementary idea of conservation of momentum, action and reaction forces. Gravitation; universal law of gravitation, force of gravitation of the earth (gravity), acceleration due to gravity; mass and weight; free fall. Thrust and pressure. Archimedes' principle, buoyancy, elementary idea of relative density. Work, power, Sound, Basic principles of optics, Electromagnetic Theory Different forms of energy, conventional and non-conventional sources of energy: fossil fuels, solar energy; biogas; wind, water and tidal energy; nuclear energy. Renewable versus non-renewable sources.

#### Biology

*Life processes:* Nutrition, Autotrophic, heterotrophic, Nutrition in human beings, Respiration in human beings, Transportation in human beings, plants, Excretion in human beings, in plants;

*Our Environment: *Ecosystem, Food chains and webs, How do our activities affect the environment; Management of Natural resources- Why do we need to manage our resources, Forests and wild life, Stakeholders, Sustainable management, Water for all, Water harvesting, Coal and Petroleum.

#### Mathematics

#### Number Systems

*Real Numbers: *Euclid’s division Lemma, Fundamental Theorem of Arithmetic, proof of the results- irrationality of √2,√3,√5 decimal expansions of rational numbers in terms of terminating/non- terminating recurring decimals.

#### Algebra

*Polynomials:* Zeros of a polynomial. Relationship between zeros and coefficients of quadratic polynomials. Statement and simple problems on division algorithm for polynomials with real coefficients.

*Pair of linear equations in two variables:* Pair of linear equations in two variables and their graphical solution. Geometric representation of different possibilities of solutions/inconsistency. Algebraic conditions for number of solutions. Solution of pair of linear equations in two variables algebraically – by substitution, by elimination and by cross-multiplication. Simple problems on equations reducible to linear equations.

#### Quadratic equations

Standard form of a quadratic equation 𝑎𝑥2+𝑏𝑥+𝑐=0,(𝑎≠0). Solution of the quadratic equations (only real roots) by factorization, by completing the square and by using quadratic formula. Relationship between discriminant and nature of roots. Arithmetic progressions: General form of arithmetic progression (AP), finite and infinite AP, common difference, derivation of standard results of finding the nth term and summation of n terms of AP.

#### Trigonometry

*Introduction to trigonometry:* Trigonometry ratios of an acute angle of a right-angled triangle. Proof of their existence; Values of the trigonometric ratios of 30°, 45°, 60° and 90°. Relationships between the ratios.

*Trigonometric identities:* Proof and applications of the trigonometric identities (e.g. (𝑠𝑖𝑛𝐴)2+(𝑐𝑜𝑠𝐴)2=1). Trigonometric ratios of complementary angles. Heights and distances: Simple and believable problems on heights and distances.

#### Coordinate Geometry

*Lines (2-Dimensions):* Concepts of coordinate geometry including graphs of linear equations. Geometrical representation of quadratic polynomials. Distance between two points and section formula (internal). Area of triangle.

#### Geometry

*Triangles:* Definitions, examples, counter examples of similar triangles, properties of triangles (proof and application).

*Circles: *Definition of tangent to a circle, properties of the tangents drawn to a circle from a point (proof and application).

#### Mensuration

*Areas related to circles:* The area of a circle; area of sectors and segment of a circle. Problems based on areas and perimeter/circumference of the simple figures such as triangles, simple quadrilaterals and circles.

*Surface areas and volumes: *Problems on finding surface areas and volumes of combinations of the following: cubes, cuboids, spheres, hemispheres and right circular cylinders/cones. Frustum of the cone. Problems involving converting one type of metallic solid into another and other mixed problems.

#### Statistics and Probability

*Statistics:* Mean, median and mode of a ungrouped/grouped data, SD, Correlation, Regression Cumulative frequency graph.

*Probability:* Simple problems of single events on classical definition of probability

#### Sample Question Paper:

A sample question paper can be found here (PDF).

**Note:**

The decision of the Competent Authorities of DA-IICT regarding eligibility and selection of any candidate shall be final.

- Candidates submit online application by clicking on the link given below. Application fee (non-refundable) is Rs. 1200/- plus GST@ 18%. (Total: Rs. 1416/-).
- The Candidate has to satisfy the eligibility criteria in order for her/his application to be considered for final admission.
- Eligible Candidates have to appear for online proctored Entrance Test. The online application procedure will guide you through the necessary procedures for application fee payment, registering for entrance test.
- Final merit list for admission is prepared based on the aggregate score in the entrance test. The top 30 scorers are offered confirmed admission and there will be a waitlist. The candidates who have been offered confirmed admission will be given five days’ time to accept the admission offer by paying the relevant fees. If a candidate fails to pay the fees within the stipulated period, the offer of admission will stand withdrawn and the eligible candidate on the waiting list will be offered admission and she/he will be given five days’ time to pay the fees and accept the offer of admission.
- The candidates who have accepted admission offers will be notified to appear for registration, followed by counseling, document verification, payment of fees and on confirmation of admission, the orientation program.

Final merit list of confirmed and wait-listed candidates, based on their combined performance in the entrance test and the interview, will be posted on the website of all three institutes. Offer/intimation of the admission letter will be sent by post and/or email to candidates accordingly. In case multiple candidates have same combined scores (of the entrance test and interview), the candidate who has higher marks in maths and science will be awarded higher rank.

The frequently asked questions (FAQs) for the M.Sc. (Agriculture Analytics) program can be found **here**

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