Internship programmes

The internship is a professional learning experience that offers meaningful, practical work related to a student’s field of study or career interest. An internship gives a student the opportunity for career exploration and development, and to learn new skills. It is an official program offered by the academy to help train and provide work experience to students and recent graduates. People need the experience to get hands-on knowledge in their career field.

An internship in SASA offers a unique opportunity for aspiring statisticians and data analysts to gain practical experience in the field. It allows interns to apply theoretical knowledge to real-world problems, develop technical skills, and understand the workings of a professional environment.

SASA provides internship programmes to students who completed UG or PG courses in statistics-related topics and Data Science. The academy has a rich source of official statistics in various sectors of the economy. Also, the students can utilise the library facilities of the Department of Economics & Statistics and other reference materials in SASA and DES during their internship period. Internships are supervised, structured learning experiences in a professional setting that allow you to gain valuable work experience in a student’s chosen field of study.

Guidelines for Internship in SASA and DES

Key Benefits

1. Hands-On Experience: Interns work on actual projects, using statistical software and methodologies to analyze data, create reports, and provide insights. This practical experience is invaluable for building a solid foundation in statistical techniques and data analysis.

2. Skill Development: Internships provide an opportunity to learn and improve various technical skills such as programming in R, Python, or SAS, and proficiency in statistical tools like SPSS or STATA. Additionally, interns enhance their soft skills, including communication, teamwork, and problem-solving.

3. Networking: Working within a statistical organization enables interns to build a professional network. Interaction with experienced statisticians, data scientists, and other professionals can provide guidance, mentorship, and future career opportunities.

4. Professional Insight: Interns gain insight into the day-to-day operations of a statistical organization. They learn about data collection methods, statistical analysis, data visualization, and the importance of accuracy and ethics in handling data.

5. Career Advancement: Successfully completing an internship can significantly boost an intern's resume. The experience gained and the professional connections made can open doors to future job opportunities in various sectors such as government, healthcare, finance, and research.

Roles and Responsibilities

• Data Collection and Analysis: Interns assist in gathering data from various sources, ensuring its accuracy, and performing statistical analysis to identify trends and patterns.
• Report Generation: Interns contribute to the creation of detailed reports and presentations that summarize findings and provide actionable insights.
• Software Utilization: Interns use statistical software for data manipulation, analysis, and visualization, ensuring that the results are both accurate and comprehensible.
• Collaborative Projects: Working alongside experienced professionals, interns participate in team projects, contributing their ideas and efforts towards common goals.