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The specialisations in AI and Data Science offered by Shri Ramswaroop Memorial University (SRMU) for the CSE/related programmes contribute positively towards placements — but like any institution, their effectiveness depends on how the student leverages them.

Why the specialisations help:

1. SRMU has defined programmes such as B.Tech in CSE (Artificial Intelligence & Machine Learning) and BCA in Data Science & Artificial Intelligence, where the curriculum emphasises emerging technologies (e.g., neural networks, deep-learning, big data, computer vision) and hands-on labs. 

2. The placement cell at SRMU reports strong efforts: partnerships with industry, placement-assistance training, and a claimed 90 % placement rate in CMM level-5 companies. 

3. For students specialising in AI/Data Science, the domain itself is in demand, which adds value to their CV and improves chances of being recruited for data-/AI-focused roles.

Why the specialisations are moderately effective (and what to watch):

1. While the highest packages at SRMU have gone up (e.g., one report shows a the highest package of ₹30 LPA in 2025) the average package remains modest  for many programmes.

2. The placement statistics vary significantly by branch, batch, student performance and actual uptake of internship/project experience — which are critical in AI/Data Science roles.

3. The specialisation alone does not guarantee placement in top companies or high salary: students must build strong programming, analytics, machine learning skills, project work, internships, and soft-skills to stand out
   
   In short, SRMU's AI & Data Science specialisations provide a good foundation and reasonable placement support, especially if the student actively engages with labs, internships and industry-aligned projects. For excellent placements (top companies, high salary), the student will need to go the extra mile (strong performance, strong portfolio, relevant internships) rather than rely solely on the specialisation label.

Shri Ramswaroop Memorial University (SRMU) has designed its Computer Science and Engineering (CSE) curriculum to align with the latest trends in technology by deeply integrating Artificial Intelligence (AI), Data Science, and Cybersecurity into both academic learning and practical exposure.

The university offers specialized electives and core subjects focused on these domains, ensuring students gain a strong foundation in programming, algorithms, machine learning, data analytics, and network security. Through industry-oriented labs, real-time projects, and hands-on workshops, students get practical experience using modern tools and technologies such as Python, TensorFlow, R, and cybersecurity frameworks.

Moreover, SRMU emphasizes experiential learning by connecting students with internships, research projects, and collaborations with reputed IT firms and startups. These internships allow students to apply their classroom knowledge to real-world challenges, helping them build technical expertise and professional skills in AI, Data Science, and Cybersecurity domains.

Overall, SRMU ensures that its CSE graduates are industry-ready professionals, equipped with the skills and experience required to excel in the evolving tech landscape.

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General Faculty Experience & Credentials

• The Institute highlights that many of its faculty members hold Ph.D. degrees and that over 70 % of faculty have Ph.D. qualifications with a majority having 10–15 years of teaching experience. 

• Faculty recruits are described as coming from reputed institutions and bringing passion for teaching and research into the classroom. 

Individual Faculty Research

• Example: Dr. Prashant Kumar Srivastava (Assistant Professor of Law) has a Ph.D., LL.M, and LL.B, multiple research publications (over 20 articles in national/international journals), participation in seminars/conferences, editorial roles in law journals, and recognition for research excellence. 

• Profiles for other faculty (like some listed in Institute directories) show LLM/Ph.D. qualifications and areas of specialisation (e.g., criminal law, corporate law), though detailed publication records vary by individual. 

Research Outputs and Scholarly Activities

• SRMU as a university reports a general culture of research with hundreds of publications across disciplines, including journal articles, conference proceedings, and books/chapters — though this encompasses all departments, not just law. 

• The university maintains research support structures (policies, incentives, consultant cells) intended to foster scholarly work. 

• The Faculty of Law publishes or is associated with scholarly outlets like law reviews and legal communiqués, indicating platforms for research dissemination (though these may be student/faculty‑inclusive rather than purely faculty outputs).

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Internships for SRMU Law Students

Official/Structured Internships

• SRMU's law curriculum includes internships as part of practical legal training (along with moot courts and court visits) to give students exposure to real legal work environments. The Institute of Legal Studies mentions internships in law firms and legal practice settings. 

• The placement and training cell supports students with industry internships, often arranged through the university's connections, plus field visits and workshops. 

Legal Associations & Legal Work Exposure

• Law students typically pursue internships with law firms, corporate legal departments, courts, NGOs, and government legal services to gain hands‑on experience. Such opportunities are in line with legal education practice across Indian law schools. 

Reality/Student Experience

• Several students report that on‑campus internship opportunities are limited or selective, with eligibility sometimes tied to academic performance (CGPA). Many students seek off‑campus internships on their own as well. 

• There are also reports of spam or scam internship emails, so verifying opportunities with faculty before applying is important.

Internships

• Structured as part of law curriculum with support from the placement cell. 

• Often in law firms, courts, and legal departments. 

• Students sometimes need to secure off‑campus internships. 

Placements

• Placement assistance available, but law placements may be limited compared to other streams. 

• Recruiters span law firms, corporate companies, banks, etc.

• Salary ranges often average ₹5–7 LPA, with higher packages for exceptional students.