BITS Design School Admission 2025, Round 1 Appn Ends 31 January 2025, Apply

BITS Design School Admission 2025, Round 1 Appn Ends 31 January 2025, Apply
Published at : 31 Jan 2025, 10:13 AM IST
Updated at : 31 Jan 2025, 10:13 AM IST

BITS Design School Admission 2025 application can be submitted till 31 January 2025 at ‘https://www.bitsdesign.edu.in/admissions/’ for the first round.

It is about Birla Institute of Technology And Science School of Design also known as BITS Design School or BITS School of Design.

Admission Open in Amity for 2025
BITS Design School Admission 2025

Over the last 3 years, BITS Pilani has expanded from Technology into Management and Legal Education with BITS School of Management (BITSoM) established in 2021 and BITS Law School (BITSLAW) in 2023, respectively.

BITS Design School Admission 2025 is about applying to study BDes Hons – bachelors in design hons course at the institution. It is a four year duration course.

Streams

BDes Hons course is offered with specializations in Physical Product Design, Digital Product Design (UX/UI), Human Centered Design, Experience Design and Visual Design.

Admission Open in SRM for 2025

Students who get a seat in the institution through this BITS Design School Admission 2025 can choose can any one of the specialization mentioned above.

Who can apply for BITS Design School Admission 2025?

Those desiring to apply for BITS Design School Admission 2025 must have passed plus two in any stream with a pass percentage of 45 at the minimum.

Applicants for BITS Design School Admission 2025 must have passed their qualifying exam from a recognized educational institution anywhere in India.

Admission Open in LPU for 2025

They must also have passed NID DAT prelims or UCEED entrance exams along with their qualifying exam. Those who do not pass these exams have to appear for BITSDAT (BITS Design Aptitude Test).

BITS Design School Admission 2025

The BITS DAT is a 1-hour test designed to check the design concept aptitude, logical reasoning ability, nonverbal reasoning and English language skills of candidates seeking admission to the B Des (Honours) programme. The test will be conducted online.

Selection process

UCEED or NID DAT prelims

Candidates who have passed NID DAT prelims or UCEED can submit applications on the website official website. They have to submit their marks in NID DAT prelims or UCEED while applying for BITS Design School Admission 2025.

Admission Open in VIT for 2025

Candidates who are shortlisted have to present their physical or digital portfolio showcasing their design around a topic sent to them. The topics for the portfolio will be individually sent to the students who are shortlisted.

Those selected for the portfolio round will be interviewed about their individual portfolios, it may include drawings, sketches, digital designs, photographs.

The portfolio should be a reflection of the applicant’s creativity, design and problem solving skills. In in the interview, candidates should be able to explain how did they go about creating their portfolio.

They may be asked about the tools, software, or techniques they used.

The interview may include questions about the applicant’s understanding of design principles, materials, and industry trends.

Students who are shortlisted will receive an offer, they can accept it and pay the fees and join the course.

BITSDAT

Those who do not pass NID DAT prelims or UCEED have to pass BITSDAT after submitting the initial application for BITS Design School Admission 2025.

Applicants have to pass BITSDAT with required qualifying marks to get shortlisted for portfolio interview. The process from here is the same as for the candidates who have passed NID DAT prelims or UCEED.

BITS Design School Admission 2025

1. The URL mentioned above has to be typed into the browser and submitted to allow the website to download.

2. Once the website is ready, candidates can read all the information about BITS Design School Admission 2025.

3. After knowing the details, they can click Apply

4. Clicking the above button will open another webpage with URL ‘https://www.bitsdesign.edu.in/apply/

5. Once the webpage with above URL opens, they can register and start applying for the course.

S.
S. Vishnu Sharma

S Vishnu Sharmaa now works with collegechalo.com in the news team. His work involves writing articles related to the education sector in India with a keen focus on higher education issues. Journalism has always been a passion for him. He has more than 10 years of enriching experience with various media organizations like Eenadu, Webdunia, News Today, Infodea. He also has a strong interest in writing about defence and railway related issues.

NIT Rourkela develops great AI powered model

NIT Rourkela develops great AI powered model
Published at : 26 Feb 2025, 6:47 PM IST
Updated at : 26 Feb 2025, 6:47 PM IST

NIT Rourkela research team led by Prof. Mirza Khalid Baig has developed a new AI-driven approach to improve blood sugar predictions for people with diabetes.

Prof Mirza is an Assistant Professor at Biotechnology and Medical Engineering department of NIT Rourkela.

Admission Open in Amity for 2025
NIT Rourkela Campus

The research presents a machine-learning model that enhances the accuracy of blood glucose level prediction, helping individuals and healthcare providers make better and personalised treatment decisions, say sources from NIT Rourkela.

Challenge

Diabetes is a major health challenge in India, with cases expected to reach 124.9 million by 2045, say NIT Rourkela researchers.

Effective diabetes management relies on regular glucose monitoring to prevent dangerous spikes (hyperglycemia) and drops (hypoglycemia) in blood sugar levels. Managing diabetes can be difficult due to a lack of specialists, unequal access to healthcare, low medication adherence, and poor self-care.

Admission Open in SRM for 2025

These challenges make it harder for patients to keep their blood sugar levels under control, increasing the risk of serious health problems.

NIT Rourkela

Machine learning (ML) has been used in many areas of diabetes research, from basic studies to predictive tools that can help doctors and patients make better and timely decisions.

Admission Open in LPU for 2025

However, AI learning models, especially predictive AI models, have a few drawbacks. Many of these models work like a “black box,” meaning their predictions are difficult to understand, say sources from NIT Rourkela.

This lack of transparency makes it hard for doctors and patients to fully trust them.

Furthermore, traditional models, such as statistical forecasting methods or basic neural networks, often fail to recognise long-term glucose fluctuations and require complex fine-tuning.

Focus

The researchers at NIT Rourkela focused on improving glucose forecasting using deep learning techniques.

Admission Open in VIT for 2025

Their approach incorporates a specialised AI model that learns from past blood sugar trends and predicts future levels more accurately than existing methods.

Unlike traditional forecasting models, which often struggle with long-term trends and require manual adjustments, this model processes glucose data automatically, identifying key patterns and making precise predictions, say sources from NIT Rourkela.

NIT Rourkela

According to the results of ICMR INDIAB study released in 2023, the overall prevalence of diabetes in our country is 11.4% and that of prediabetes is 15.3%, said Prof Mirza of NIT Rourkela.

Hence, it is crucial that we develop new solutions to tackle this problem, he said.

Our core innovation lies in using multi-head attention layers within a neural basis expansion network, which allows the model to focus on the most relevant data points while ignoring unnecessary noise, he said.

This results in better performance without the need for large amounts of training data or extensive computing power.

By combining precision with efficiency, we aim to provide a practical tool that can be integrated into digital health solutions, helping patients and doctors manage diabetes more effectively, he said.

Performance

The model developed by NIT Rourkela outperformed existing forecasting techniques by providing more reliable blood sugar predictions.

Since the model prioritises key information in blood sugar trends, it enables prediction that matches an individual’s unique glucose patterns, say sources from NIT Rourkela.

As a result, it offers improved accuracy, which is important for making timely and personalised adjustments to future insulin doses, meals, and physical activity.

Furthermore, the model is optimised to work efficiently on devices like smartphones and insulin pumps, making it more accessible for everyday diabetes management.

Care

In the long run, this AI-driven approach has the potential to enhance diabetes care through various applications.

It could be integrated into smart insulin pumps to automate insulin delivery, incorporated into mobile health apps for real-time glucose tracking, or used in clinical settings to support doctors in making personalised treatment plans.

Testing the developed technology

Currently, the researchers are planning on testing the developed technology through extensive clinical trials at hospitals, in collaboration with senior diabetologists in Odisha, such as Dr. Jayanta Kumar Panda and his team.

The team also acknowledges support from DST, DBT and NIT Rourkela for this project.

About NIT Rourkela

NIT Rourkela is one of the premier national level institutions for technical education in the country and is funded by the Government of India.

NIT Rourkela has earned 19th position in NIRF Ranking 2024 (Engineering Category), Overall 34th position, 30th position under Research and 9th position in Architecture and Planning category.

S.
S. Vishnu Sharma

S Vishnu Sharmaa now works with collegechalo.com in the news team. His work involves writing articles related to the education sector in India with a keen focus on higher education issues. Journalism has always been a passion for him. He has more than 10 years of enriching experience with various media organizations like Eenadu, Webdunia, News Today, Infodea. He also has a strong interest in writing about defence and railway related issues.



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