Skip to main content

UGC NET June 2024

University Grants Commission National Eligibility Test - UGC NET June 2024

National Testing Agency (NTA) has invited applications for the University Grants Commission (UGC) National Eligibility Test (UGC-NET), 2024. This is a test to determine eligibility of Indian nationals under 3 categories: Category-1 -Award of Junior Research Fellowship (JRF) and appointment as Assistant Professor; Category-2-Appointment as Assistant Professor and admission to Ph.D.; Category-3- Admission to Ph.D. only in Indian universities/colleges/higher education institutions.

The JRF-qualified candidates are admitted into the Ph.D. programme based on an interview.  UGC NET under category-2 category-3 can be used as an entrance test for Ph.D. admission in place of entrance tests conducted by the different universities/HEIs for admission to Ph.D. For candidates of these 2 categories, marks obtained in the NET will have 70% weightage and performance in the interview/viva voce conducted by the University/HEI concerned, 30% weightage. Ph.D. admission will be based on the combined merit of the two components.

For admission to Ph.D., the marks obtained in the NET by the candidates in category-2 and category-3 will be valid for a period of one year from the date of declaration of the result of UGC-NET. The result of NET will be declared in percentile along with the marks obtained by a candidate to utilize the marks for admission to Ph.D. The number of candidates who will be qualified for 'admission to the Ph.D. only' will be decided by the results committee.

The selection of candidates for the following Fellowships will be made through the Ministry of Social Justice and Empowerment: (i) National Fellowship for Scheduled Caste Students (NFSC) (ii) National Fellowship for Other Backward Classes (NFOBC) (iii) National Fellowship for Persons with Disabilities (NFPwD). Those aspiring for the Fellowships listed above, shall also have to apply for the Test.

UGC NET June 2024 will be conducted in 83 subjects in OMR (Pen & Paper) mode on 16 June 2024. List of subjects is given at Appendix -II of the Information Bulletin at https://ugcnet.nta.ac.in/. Applicants may appear in the subject of their Post-Graduation only. Those applicants whose Post-Graduation subject is not covered in the list of NET subjects, may appear in a related subject.

The Test of 3 hours' duration will consist of two papers. Both the papers will consist of objective type, multiple choice questions. There will be no break between papers. Structure of the Test is given in the Information Brochure. Syllabus for all NET Subjects can be downloaded from https://www.ugcnetonline.in/syllabus-new.php

Eligibility: Applicant should hold a Master's Degree/equivalent in Humanities and Social Science (including languages), Computer Science and Applications, Electronic Science etc. with 55% marks (without rounding off) (50% marks for OBC NCL/SC/ST/PwD/Third gender category). Those who are pursuing their Master's degree or equivalent course or those who have appeared for their qualifying Master's degree (final year) examination and whose result is still awaited may also apply for this test. Such candidates must complete their Master's degree or equivalent examination within two years from the date of NET result with required percentage of marks, failing which they shall be treated as disqualified. However, those candidates who qualify for 'Admission to Ph.D. Only' must complete their Master's degree or equivalent examination within one year from the date of NET result with required percentage of marks, failing which they shall be treated as disqualified.

Those pursuing Four Year/8 Semester Bachelor's Degree Programme and are in their last semester/year may also apply for the test. However, such candidates shall be considered eligible for the award of JRF/admission to Ph.D. only after fulfilling the requirements contained in the related UGC regulations. They should have a minimum of 75% marks in aggregate or its equivalent grade (70% for SC/ST/OBC (NCL)/Differently-Abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of UGC). Those qualifying in the NET, based on a four-year undergraduate degree, will be eligible for the award of the Junior Research Fellowship (JRF) and for admission to the Ph.D. They will not be eligible for appointment as Assistant Professor.

Conditions related to the age of applicant, details of relaxations, exemptions in conditions etc; are given in the Information Brochure.

Application: Online Application can be submitted up to 11.50 pm on 10th May 2024 at https://ugcnet.nta.ac.in/.

Application Fee is Rs. 1150/-. For General-EWS/OBC-NCL it is Rs. 600/- and for SC/ST/PwD/Third Gender, Rs. 325/-. This can be paid through Credit Card/ Debit Card/Net Banking /UPI up to 11.50 pm on 12th May 2024. Correction in the Particulars in Online Application Form can be done online during 13th May 2024 to 11.50 pm on 15th May 2024.

For more details, visit https://ugcnet.nta.ac.in/



Comments

Popular posts from this blog

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...

Hazard Mapping Spatial Planning Evacuation Planning GIS

Geographic Information Systems (GIS) play a pivotal role in disaster management by providing the tools and frameworks necessary for effective hazard mapping, spatial planning, and evacuation planning. These concepts are integral for understanding disaster risks, preparing for potential hazards, and ensuring that resources are efficiently allocated during and after a disaster. 1. Hazard Mapping: Concept: Hazard mapping involves the process of identifying, assessing, and visually representing the geographical areas that are at risk of certain natural or human-made hazards. Hazard maps display the probability, intensity, and potential impact of specific hazards (e.g., floods, earthquakes, hurricanes, landslides) within a given area. Terminologies: Hazard Zone: An area identified as being vulnerable to a particular hazard (e.g., flood zones, seismic zones). Hazard Risk: The likelihood of a disaster occurring in a specific location, influenced by factors like geography, climate, an...

Supervised Classification

In the context of Remote Sensing (RS) and Digital Image Processing (DIP) , supervised classification is the process where an analyst defines "training sites" (Areas of Interest or ROIs) representing known land cover classes (e.g., Water, Forest, Urban). The computer then uses these training samples to teach an algorithm how to classify the rest of the image pixels. The algorithms used to classify these pixels are generally divided into two broad categories: Parametric and Nonparametric decision rules. Parametric Decision Rules These algorithms assume that the pixel values in the training data follow a specific statistical distribution—almost always the Gaussian (Normal) distribution (the "Bell Curve"). Key Concept: They model the data using statistical parameters: the Mean vector ( $\mu$ ) and the Covariance matrix ( $\Sigma$ ) . Analogy: Imagine trying to fit a smooth hill over your data points. If a new point lands high up on the hill, it belongs to that cl...

Isodata clustering

Iso Cluster Classification in Unsupervised Image Classification Iso Cluster Classification is a common unsupervised classification technique used in remote sensing. The "Iso Cluster" algorithm groups pixels with similar spectral characteristics into clusters, or spectral classes, based solely on the data's statistical properties. Unlike supervised classification, Iso Cluster classification doesn't require the analyst to predefine classes or training areas; instead, the algorithm analyzes the image data to find natural groupings of pixels. The analyst interprets these groups afterward to label them with meaningful information classes (e.g., water, forest, urban). How Iso Cluster Classification Works The Iso Cluster algorithm follows several steps to group pixels: Initial Data Analysis : The algorithm examines the entire dataset to understand the spectral distribution of the pixels across the spectral bands. Clustering Process :    - The algorithm starts by divid...

Scope of Disaster Management

Disaster management refers to the systematic approach to managing and mitigating the impacts of disasters, encompassing both natural hazards (e.g., earthquakes, floods, hurricanes) and man-made disasters (e.g., industrial accidents, terrorism, nuclear accidents). Its primary objectives are to minimize potential losses, provide timely assistance to those affected, and facilitate swift and effective recovery. The scope of disaster management is multifaceted, encompassing a series of interconnected activities: preparedness, response, recovery, and mitigation. These activities must be strategically implemented before, during, and after a disaster. Key Concepts, Terminologies, and Examples 1. Awareness: Concept: Fostering public understanding of potential hazards and appropriate responses before, during, and after disasters. This involves disseminating information about risks, safety measures, and recommended actions. Terminologies: Hazard Awareness: Recognizing the types of natural...