Data Science is a unique multidisciplinary confluence of Computer Science, Computational Mathematics, Statistics and Management. Data engineering involves data collection methods, designing enterprise data storage and retrieval.
The department has a number of well equipped laboratories and provides excellent facilities for learning. All computer labs and server are supported by robust and relies UPS system with backup. In addition the labs are supported by a generator and centralized AC is provided for all laboratories. Availability of computer systems to all the students at 1:1 ratio. Centralized A/C for all the labs and all the systems are connected to LAN and has the facility to browse Internet.
Platforms – Windows 2000, serve pack 1&2, Fedora Advance version, UNIX, Linux, Novell Netware with Proxy Server.
RDBMS – Oracle 9i, MS SQL Server, MS Access, DB2, MYSQL
Languages – Python, C, C++, Java, ASP, COBOL, LISP, Fortran, Pascal, Perl, MASM
Other– iPlanet Web server, IBM Suite, Lotus Notes Domino (Windows Environment), IBM Suite, MSDN Professional Edition, Rational Rose Enterprise Suite, 3ds Max Studio, Scada, Embedded System Development Software (KEIL). MSDN Academic kit.