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Detection and classification of Brain Tumor in MRI images need exceptionally well expertise. Yet MRI images are mostly used method for imaging structures of interest in human brain. WHO has published data that around 700,000 human beings are suffering from Brain Tumor issues also 86,000 have been treated since 2019. Only 35% is the survival rate of Brain Tumor disease. A systematic and efficient model is needed that can detect and classify the disease. A series of work into this field had been carried out but still robust and more accurate system is needed. There is major scope into Deep Learning by using various Transfer Learning techniques. Still there is some scope to have very effective and automated model to classify and to detect Brain Tumor at early stage. Various state-of-the-art algorithms have been discussed in this study.