Management course study aspirants can apply for the exam till 12 pm of November 30. The application process for XAT 2021 began on September 12 this year.

The timing of the exam will be from 9:30 am to 12:30 pm on that day. The mode of the examination will be online.

XLRI conducts XAT on behalf of Xavier Association of Management Institutes (XAMI).

XAT 2021 scores can get admission not only in XLRI but also in other B-Schools which are also known as XAMI.

XAMI members
ABBS School of Management in Bengaluru in Karnataka, Asian School of Business Management in Bhubaneswar in Odisha, Loyola Institute of Business Administration (LIBA) in Chennai in Tamil Nadu are members of XAMI.

These above said institutions also admit students into them for management courses based on XAT scores.

About XLRI
XLRI was formerly known as Xavier Labour Relations Institute and is a private business school run by the Society of Jesus (Jesuits) in Jamshedpur in Jharkhand in India.

XAT 2021 test cities
XAT 2021 will be conducted across the country in many cities and the list of them is given below:

Agra, Ahmedabad, Aurangabad City (Maharashtra), Allahabad, Ambala, Amravati, Amritsar, Bengaluru, Berhampur, Bhatinda, Bhilai Nagar, Bhopal.

Bhubaneswar, Bokaro Steel City, Chandigarh/Mohali, Chennai, Coimbatore, Cuttack, Dehradun, Delhi-NCR, Dhanbad, Dibrugarh, Durgapur/Asansol, Ernakulam.

Gandhinagar, Goa, Gorakhpur, Guwahati, Gwalior, Hooghly, Hubballi(Hubli), Hyderabad, Indore, Jabalpur, Jaipur, Jammu, Jamshedpur, Kannur, Kanpur, Kolkata.

Kota, Kottayam, Kurnool, Kurukshetra, Lucknow, Ludhiana, Madurai, Mangalore, Mumbai, Mysuru(Mysore), Nagpur, Nashik, Patna, Pune, Raipur, Rajahmundry.

Ranchi, Roorkee, Rourkela, Sambalpur, Siliguri, Surat, Thiruvananthapuram Tiruchirappalli, Tirupathi, Tiruvallur, Udaipur, Udupi Vadodara, Varanasi, Vijayawada, Visakhapatnam, Warangal.

Exam enthusiasts can visit the official website of XAT 2021 at ‘https://xatonline.in/’ and click the button ‘Register’ located next to the banner.

Post clicking the button, applicants can commece the registration process by providing their name, their email id, their mobile number and type a password of their choice, select the state they belong and then enter the captcha and then press ‘Register’ button.

Post registration candidates would obtain credentials (username and password). Applicants can use the credentials and login and commence applying for XAT 2021 exam.

After filling the application form, applicants can upload their recent photograph size photograph which is of 20KB to 50 KB in size.

Applicants must put their signature on a plain white paper in black ink and take a picture of that or scan it and upload it while filling the application.

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The size of the image of the candidate’s signature must be between 10 KB to 20 KB.

After all the details in the application for XAT 2021 are filled and photograph and signature image are uploaded, applicants have to pay the registration fees.

XAT 2021 registration fee is Rs 1750, applicants who are interested in XLRI programmes have to pay an additional fee of Rs 300 each.

XAT Registration Fee (with late fee) is Rs 2050. Candidates interetsed in XLRI programmes needs to pay an additional fee of Rs. 500/- each.

Registration fee payment for XAT 2021 can be made by using debit cards (RuPay/Visa/Master Card/Maestro), Credit Cards, Internet Banking, IMPS, Cash Cards/ Mobile Wallets.

Post payment of application fee (registration fee) for XAT 2021, applicants can make the final submission of the application form.

Applicants must take a print out of the confirmation of final submission and preserve it for future use.

The questions are divided into four sections. Every correct answer in XAT 2021 exam will fetch one mark and every wrong answer will lead to a deduction of 0.25 mark.

The total duration to answer all the questions in three hours.

Verbal and Logical Ability (26 questions), Decision Making (21 questions), Quantitative Ability and Data Interpretation (28 questions) and General Knowledge (25 questions) are the subjects from which the questions have to be answered.

Eligibility
The eligibility for XAT 2021 is that applicants willing apply for the exam must have passed their graduation in any discipline.

There is no compulsory minimum passmark required criteria for applying for the exam. A simple pass in the qualifying graduation exam is more than enough.

Even candidates who are completing their final year of graduation can also apply.

However they have to pass the exam by the time admission process begins and have to produce the marksheets of the qualifying exam.

Syllabus
The portions to be covered for XAT 2021 are very vast, however, a planned preparation is the key to pass with flying colours.

The topics to be covered for XAT 2021 are Verbal and Logical Ability, Decision Making, Quantitative Ability and Data Interpretation and General Knowledge.

The topics related to these subjects are given below:

Verbal Ability

Questions on English vocabulary like fill in the blanks with right answer

Synonmys and Antonyms

Contextual usage on vocabulary words

Jumbled Paragraphs

Mistake correction in sentences

Pointing out the correct use of words

Completion of sentences

Completion of paragraph

Reading Comprehension and anwering questions related to it

Logical Reasoning

Questions related to Analogy,

Clocks,

Calendars,

Facts,

Inference

Judgement

Binary Logic

Seating Arrangement

Blood relations

Logical Sequence

Assumption

Premise

Conclusions

Decision Making

Conditions and Grouping Test

Data Arrangement Test

Complex Arrangement

Decision Making in a situation

Case lets

LCM and HCF

Percentages

Profit and Loss

Interest (Simple and Compound)

Speed, Time and Distance; Time and Work; Averages

Ratio and Proportion and others

Number System

Algebra

Geometry including Co-ordinate Geometry

Mensuration

Pure Math

Venn diagrams

Linear Equations

Quadratic Equations

Complex Numbers

Logarithm

Progressions

Binomial Theorem

Surds and Indices

Inequalities

Permutation and Combination

Probability Functions

Set Theory

Mixtures and Alligations

Trigonometry

Data Interpretation

Data Tables

Data charts

Bar diagrams

Pie charts

Graphs

Data analysis and comparison

General Knowledge

Economics

Finance

National and International current affairs

Conventional GK

Constitution of India

Company profiles, logos,

Business & Economy

Who’s who

Books & Authors

Capitals & Currencies

More information about XAT 2021 and how to apply for it can be accessed at ‘https://xatonline.in/downloads/5f7e9bcf1101d911765149_Xat_bulletin_2020.pdf’

Designed to monitor the freshness of seafood in real-time by responding to pH changes, the film offers a practical solution for improving food safety and reducing waste.

This film detects the release of volatile amines, compounds typically associated with spoilage, and indicates food quality through visible color changes, say sources from NIT Rourkela.

These natural components make the film biodegradable, safe, and responsive, aligning with sustainability goals and offering a non-invasive way to assess seafood freshness.

Findings

The findings of this research have been published in the journal Food Packaging and Shelf Life in a paper co-authored by Prof. Preetam Sarkar (as the lead corresponding author), along with his research scholars, Mr. Rahul Thakur, Miss Harshi Singhi, Mr. Vedsagar Rajesh Suryavanshi, and Dr. Ravichandran Santhosh.

Other co-authors in this work include Dr. Khalid Gul from NIT Rourkela, Dr. Swarup Roy from Lovely Professional University, Dr. Srinivas Janaswamy from South Dakota State University, Brookings, USA and Dr. Kirtiraj K. Gaikwad from IIT Roorkee.

Fishing

India is the world’s second-largest fish-producing nation, contributing approximately 8% of global fish production, say NIT Rourkela researchers.

It also holds the distinction of being the top five producer of shrimp globally, with frozen shrimp being the top export commodity.

Given the scale and importance of seafood production, innovations that ensure freshness and reduce spoilage are of immense value, say NIT Rourkela researchers.

In this context, intelligent packaging systems, which preserve food while monitoring its quality, are rapidly gaining global interest.

Unlike conventional packaging that serves merely as a protective barrier, the intelligent packaging film developed by NIT Rourkela team offers visual cues about the product’s condition, making it a promising solution for enhancing food safety and reducing waste.

The beetroot peel extract was prepared separately, and then combined with the starch, gum tragacanth, and a small amount of glycerol to cast the films.

These were dried and tested for their pH-sensitivity and effectiveness in monitoring seafood freshness, said Prof Preetam of NIT Rourkela.

Pigments

Beetroot peels contain betalains, a group of pigments known for their bright colours and pH sensitivity, say NIT Rourkela researchers.

These pigments also offer antioxidant and antimicrobial benefits, making them suitable for food-related applications.

Incorporating these natural compounds into the starch-based film creates a biodegradable, safe, and responsive packaging material.

When the seafood begins to spoil and pH levels rise, the film changes colour, providing a clear visual indicator of freshness.

Starch

The choice of Kodo millet starch and gum tragacanth contributes to the film’s biodegradable and eco-friendly profile.

Kodo millet is an underutilised grain with excellent film-forming properties, while gum tragacanth enhances the mechanical strength and flexibility of the material.

The researchers believe that using such agricultural by-products not only supports sustainability but also adds value to food processing waste, such as beetroot peels.

At the laboratory scale, the cost of producing the film was estimated approximately Rs. 900 per kilogram.

When scaled up for industrial production, the cost is projected to range between Rs. 400 and Rs. 600 per kilogram, making it a potentially viable option for commercial use.

Also Read – NIT Rourkela develops great AI powered model